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<h1 class="page__title title" id="page-title" style="box-sizing:
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text-decoration-style: initial; text-decoration-color: initial;">Researcher
in Artificial Intelligence applied to life sciences (RRE)</h1>
<p><b style="box-sizing: border-box; font-weight: bold; color:
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text-decoration-style: initial; text-decoration-color: initial;">Reference:</b><span
style="color: rgb(0, 0, 0); font-family: "Roboto
Condensed", sans-serif; font-size: 16px; font-style:
normal; font-variant-ligatures: normal; font-variant-caps:
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text-decoration-color: initial; display: inline !important;
float: none;"><span> </span>173_LS_AI_RRE</span></p>
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</p>
<div class="ja-title" style="box-sizing: border-box; color: rgb(0,
0, 0); font-family: "Roboto Condensed", sans-serif;
font-size: 16px; font-style: normal; font-variant-ligatures:
normal; font-variant-caps: normal; font-weight: 400;
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text-decoration-style: initial; text-decoration-color: initial;"><b
style="box-sizing: border-box; font-weight: bold;">Context And
Mission</b></div>
<span style="color: rgb(0, 0, 0); font-family: "Roboto
Condensed", sans-serif; font-size: 16px; font-style: normal;
font-variant-ligatures: normal; font-variant-caps: normal;
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initial; display: inline !important; float: none;"> </span>
<div class="ja-value" style="box-sizing: border-box; color: rgb(0,
0, 0); font-family: "Roboto Condensed", sans-serif;
font-size: 16px; font-style: normal; font-variant-ligatures:
normal; font-variant-caps: normal; font-weight: 400;
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text-indent: 0px; text-transform: none; white-space: normal;
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text-decoration-style: initial; text-decoration-color: initial;">The
Life Sciences Department at the BSC integrates the independent
research of senior scientists that work on various aspects of
computational biology, ranging from bioinformatics for genomics to
computational biochemistry and text mining. The Computational
Biology group is involved in multiple projects in collaboration
with experimental groups generating state-of-the-art genomics and
epigenomics datasets, actively participating in the International
Human Epigenome Consortium and with the general aim of enabling
new approaches in personalized medicine. Current efforts involve
integration of different types of omics data, with a particular
emphasis on epigenomics. We are establishing methods to study
genome architecture exploiting interdisciplinary tools such as
machine learning and network theory.<br style="box-sizing:
border-box;">
The mission of the Computer Science Department at the BSC is to
influence the way machines are built, programmed and used:
computer and system architecture, programming models and
performance tools, resource management, Big Data and artificial
intelligence. The HPAI (High Performance Artificial Intelligence)
research group is part of the Computer Science department, and it
performs research in Artificial Intelligence, focused on the
solutions, problems and infrastructure provided by High
Performance Computing. The group actively collaborates with
researchers from other fields, with the goal of applying machine
learning to challenging problems in a wide variety of domains.
HPAI has active collaborations with several large tech companies,
pursuing lines of research of common interest. The group is also
involved in multiple research projects, both European and
national. Although the HPAI is open to all aspects of AI,
currently its main lines of research are deep neural networks and
graph analytics.<br style="box-sizing: border-box;">
The post holder will collaborate with the Life Sciences department
and the HPAI research group in the Computer Science department,
with the goal of finding AI solutions to life sciences challenges.
This will include working closely with researchers from both
areas, programming, testing and dissemination of the research. The
candidate will be able to develop an independent research
programme within the broad topics mentioned above.<br
style="box-sizing: border-box;">
The Researcher will work in a highly sophisticated HPC
environment, will have access to state-of-the-art systems and
computational infrastructures, and will establish collaborations
with experts in different areas both at the local and
international levels.</div>
<span style="color: rgb(0, 0, 0); font-family: "Roboto
Condensed", sans-serif; font-size: 16px; font-style: normal;
font-variant-ligatures: normal; font-variant-caps: normal;
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initial; display: inline !important; float: none;"> </span>
<div class="ja-title" style="box-sizing: border-box; color: rgb(0,
0, 0); font-family: "Roboto Condensed", sans-serif;
font-size: 16px; font-style: normal; font-variant-ligatures:
normal; font-variant-caps: normal; font-weight: 400;
letter-spacing: normal; orphans: 2; text-align: justify;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;
text-decoration-style: initial; text-decoration-color: initial;"><b
style="box-sizing: border-box; font-weight: bold;">Key Duties</b></div>
<span style="color: rgb(0, 0, 0); font-family: "Roboto
Condensed", sans-serif; font-size: 16px; font-style: normal;
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0px; text-decoration-style: initial; text-decoration-color:
initial; display: inline !important; float: none;"> </span>
<ul style="box-sizing: border-box; margin: 0.6em 0px 1.2em; padding:
0px 1em 0px 1.8em; color: rgb(0, 0, 0); font-family: "Roboto
Condensed", sans-serif; font-size: 16px; font-style: normal;
font-variant-ligatures: normal; font-variant-caps: normal;
font-weight: 400; letter-spacing: normal; orphans: 2; text-align:
justify; text-indent: 0px; text-transform: none; white-space:
normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width:
0px; text-decoration-style: initial; text-decoration-color:
initial;">
<li style="box-sizing: border-box; list-style-type: none; margin:
0px 0px 0.8em; text-align: left;">Development of AI solutions,
with special emphasis on machine learning methods, for the
analysis and interpretation of biological data</li>
<li style="box-sizing: border-box; list-style-type: none; margin:
0px 0px 0.8em; text-align: left;">Use predictive computational
methods based on statistical and inference approaches to model
complex biological processes</li>
<li style="box-sizing: border-box; list-style-type: none; margin:
0px 0px 0.8em; text-align: left;">Integration of heterogeneous
data sources using advanced data mining techniques</li>
</ul>
<p>MORE INFO & APPLY HERE:<a
href="https://www.bsc.es/join-us/job-opportunities/173lsairre">
https://www.bsc.es/join-us/job-opportunities/173lsairre</a></p>
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