max planck institut
informatik
informatik
Requirements: Strong background in computer science; programming experience; interest in biology
Timeframe: Flexible.
The Max-Planck-Society (MPG) is the premier
basic research branch in Germany. The Max-
Planck Institute for Informatics is devoted to
Computer Science and Information Technology.
In 2001 the institute established a Department
of Computational Biology under the
direction of Prof. Dr. Dr. Thomas Lengauer.
Current research activities in the Department include the areas of medical bioinformatics, with a focus on computational genomics, epigenetics, transcriptomics, HIV, HCV, and cancer, as well as basic research on the prediction and analysis of protein structure, function and interactions. Research comprises a mix of method innovation and biological, pharmaceutical and medical applications. We cooperate intensively with partners from biology labs, pharmaceutical Industry and clinics.
The Department of Computational Biology is a partner in a larger Computational Biology Center in Saarbrücken (http://www.zbi.uni-saarland.de), which offers several curricula in Computational Biology. Furthermore, the Department cooperates with other Max Planck Institutes, notably in the areas of Biology and Medicine as well as with Universities, Genome Centers, and pharmaceutical and biotech industry.
The Computational Biology Department offers an interdisciplinary research environment with exciting challenges on novel biological data and leading-edge expertise in one of today's most dynamic scientific disciplines. We are looking for people that are qualified and motivated to join our interdisciplinary team.
For several years, the department has performed research on epigenetics with the goal of fostering our understanding of epigenetics, evolution and disease by computational means. These activities are integrated into sizeable German and European consortia bringing together data generation, data analysis and biological interpretation.
We are offering the position of a doctoral student in computational epigenetics / epigenomics, with a focus on novel approaches for epigenome data integration, visualization and analysis. A background in computer science and genetics is required. As part of the work, the student will contribute to the bioinformatics work package of a large European effort on epigenome mapping in the human blood/immune system and related diseases (incl. leukemia and diabetes). Expertise in machine learning and statistics is a plus. The candidate should have strong interest in collaboration with biomedical researchers.
Applications should include the usual information
such as curriculum vitae, motivation letter, copies of certificates and email of two or three references. Please refer to “doctoral student in computational epigenetics” in your application. The Max-Planck Society is an equal opportunity employer. Qualifications being equal, precedence will be given to candidates with disabilities.
Contact for QuestionsProf. Dr. Dr. Thomas Lengauer Applications should be sent to:
Max-Planck-Institut für Informatik |
Requirements: Strong background in computational genomics; programming experience
Timeframe: As soon as possible.
The Max-Planck-Society (MPG) is the premier
basic research branch in Germany. The Max-
Planck Institute for Informatics is devoted to
Computer Science and Information Technology.
In 2001 the institute established a Computational
Biology research division under the
direction of Prof. Dr. Dr. Thomas Lengauer.
Current research activities directed by Prof.
Lengauer include the areas of medical bioinformatics,
with a focus on HIV, HCV, and
cancer, prediction and analysis of protein
structure, function and interactions, molecular
docking, computational genomics, transcriptomics
and epigenetics. Research comprises
a mix of method innovation and biological,
pharmaceutical and medical applications.
We cooperate intensively with partners from
biology labs, pharmaceutical Industry and
clinics. In some of our applications we are
very close to the bedside.
The Computational Biology research division
at the Max Planck Institute for Informatics is
a partner in a larger Computational Biology
Center in Saarbrücken (http://www.zbi.uni-saarland.
de), together with groups from the
University of the Saarland, where several curricula
in Computational Biology are being offered.
Furthermore, the Research Division
cooperates with other Max Planck Institutes,
notably in the areas of Biology and Medicine
as well as with Universities, Genome Centers,
and pharmaceutical and biotech industry.
The Computational Biology group offers an
interdisciplinary research environment with
exciting challenges on novel biological data
and leading-edge expertise in one of today's
most dynamic scientific disciplines. We are
looking for people that are highly qualified
and motivated to join our interdisciplinary
team.
We are offering the position of a postdoctoral
researcher in computational epigenetics / epigenomics,
with a focus on improving cancer
diagnosis and therapy. A strong background
in genomics, gene expression analysis or systems
biology is required. We are especially
interested in modeling the role of epigenetic
deregulation in diseases such as cancer. We
are involved in interdisciplinary projects toward
this end (http://www.cancerdip.eu/).
Expertise in machine learning, statistics and
software engineering is a plus. The candidate
should have strong interest in collaboration
with biomedical researchers. The position requires
an internationally competitive research
record in computational biology.
Applications should include the usual information
such as curriculum vitae, motivation letter,
copies of certificates, a list of publications
and email of two or three references. Please
refer to “postdoc in computational epigenetics”
in your application. The Max-Planck Society
is an equal opportunity employer. Qualifications
being equal, precedence will be given
to candidates with disabilities.
Contact for QuestionsProf. Dr. Dr. Thomas Lengauer Applications should be sent to:
Max-Planck-Institut für Informatik |
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