<div dir="ltr"><div><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">THE POSITION</span><br></p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif">We are looking for a highly motivated candidate for a PhD project in Computational Oncology at the department of Biomedical Data Sciences. This project focusses on modelling tumor heterogeneity and discerning drivers of clonal evolution and therapy resistance by analyzing single-cell data on material derived from patients with acute myeloid leukemia.</p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif"><br style="box-sizing:inherit"></p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif"><span style="box-sizing:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline;background:transparent;outline:0px">IN SHORT</span></p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif">• You will work on integrative computational methods to discern, characterize and trace different clonal lines present within tumors</p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif">• You will work in a multi-disciplinary environment ranging from data science to translational oncology within the recently established Leiden Center for Computational Oncology</p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif">• You will disseminate your work by writing scientific manuscripts and presenting your research at international conferences. The combination of this work will lead to a PhD title</p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif"><br style="box-sizing:inherit"></p>WHAT YOU WILL DO<br><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif">Acute myeloid leukemia (AML) is a cancer of the myeloid immune lineage and represents about 1.2% of all new cancer cases. AML typically affects elderly patients, with only 5-15% of the patients above age 60 achieving a durable remission. Promising treatments are steadily released, with yet unknown resistance mechanisms. Hence, within this project, you will conduct integrative analyses using various types of single-cell molecular data sources to identify mechanisms driving clonal evolution and therapy resistance. Within the newly established Leiden Center for Computational Oncology, acute myeloid leukemia was chosen as one of the projects to spearhead the development of novel computational tools that provide more insight into tumor heterogeneity and tumor evolution under therapeutic pressure. The activities of the PhD candidate are purely computational and will be embedded within the Leiden Computational Biology Center (prof. M. Reinders), and the department of Hematology (prof. H. Veelken, MD).<br></p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif"><br style="box-sizing:inherit"></p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small;color:rgb(34,34,34)">WHAT WE ASK</span></p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif">You hold a MSc degree in Bioinformatics, Statistics, Life Sciences, or a similar area. You possess a strong background in data analytics, have hands-on experience with applying machine learning methods, and you are familiar with scripting languages such as R or Python. Knowledge of genetic analyzation and transcriptomic studies are favored but not required. You enjoy the pursuit of knowledge across multiple field, and you have an optimistic and kind nature.<br></p><p style="box-sizing:inherit;margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;line-height:1.42857;color:rgba(0,0,0,0.9);font-family:-apple-system,system-ui,system-ui,&quot;Segoe UI&quot;,Roboto,&quot;Helvetica Neue&quot;,&quot;Fira Sans&quot;,Ubuntu,Oxygen,&quot;Oxygen Sans&quot;,Cantarell,&quot;Droid Sans&quot;,&quot;Apple Color Emoji&quot;,&quot;Segoe UI Emoji&quot;,&quot;Segoe UI Symbol&quot;,&quot;Lucida Grande&quot;,Helvetica,Arial,sans-serif"><br style="box-sizing:inherit"></p><div>INTERESTED?<br>Please send your CV and motivation letter (deadline November 15th) to:<br><a href="https://lumc.recruitee.com/l/en/o/phd-candidate-tumor-heterogeneity-in-acute-myeloid-leukemia-d20bhmr02/c/new">https://lumc.recruitee.com/l/en/o/phd-candidate-tumor-heterogeneity-in-acute-myeloid-leukemia-d20bhmr02/c/new</a><br></div><div><br></div><div>Kind regards,<br><br>Erik van den Akker</div></div><br clear="all"><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="font-size:x-small"><span style="color:rgb(136,136,136)">Leiden University Medical Centre</span></span></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="font-size:x-small"><span style="color:rgb(136,136,136)"><a href="http://www.molepi.nl/en/people/people_item/t/erik_van_den_akker" target="_blank">Molecular Epidemiology</a></span></span></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="color:rgb(136,136,136);font-size:x-small">Einthovenweg 20, </span><span style="font-size:x-small"><span style="color:rgb(136,136,136)">2333 ZC, Leiden, </span></span><span style="color:rgb(136,136,136);font-size:x-small">The Netherlands</span></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="color:rgb(136,136,136);font-size:x-small">Building 2 [Research], Room S5-38</span></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="font-size:x-small"><span style="color:rgb(136,136,136)">tel: +31 (0)71 526 85 57</span></span></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="font-size:x-small"><span style="color:rgb(136,136,136)"><br></span></span></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="color:rgb(128,128,128)"><span style="font-size:x-small">Delft University of Technology</span><span style="font-size:x-small"> </span></span></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="color:rgb(136,136,136);font-size:x-small"><a href="https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems/pattern-recognition-bioinformatics/the-delft-bioinformatics-lab/" target="_blank">Delft Bioinformatics Lab</a></span></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="color:rgb(136,136,136);font-size:x-small">Van Mourik Broekmanweg 6, </span><span style="color:rgb(136,136,136);font-size:x-small">2628 XE, Delft, </span><span style="color:rgb(136,136,136);font-size:x-small">The Netherlands</span></p><p style="font-size:12.8px;margin:0px;color:rgb(0,0,0);font-family:Verdana,Arial,Helvetica,sans-serif"><font color="#888888" size="1">Building 28 [WI], Room W5.820</font></p><p style="font-size:12.8px;margin:0px;font-family:Verdana,Arial,Helvetica,sans-serif"><span style="font-size:x-small"><span style="color:rgb(136,136,136)">tel: +31 (0)15 278 55 17</span></span></p></div></div></div></div></div></div></div></div></div></div></div></div>