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Field
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Individual development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension plan (VBL
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managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
. Helmut Grubmüller) is inviting applications for a PhD Student or Postdoc (f/m/d) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible
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have completed a Master’s degree and hold a PhD in a field relevant to forest sciences. Applicants should be eligible to apply for an ERC Starting Grant or the Emmy Noether Programme after two years
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26764 Postdoctoral Research Opportunity in Bioinformatics (m/f/d) RNA modification and 5′ Cap Analysis
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24 Jan 2026 Job Information Organisation/Company Deutsches Elektronen-Synchrotron DESY Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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computer programs High level of commitment and flexibility Physical resilience What we offer State-of-the-art laboratory equipment and analysis technology Varied and challenging work An open-minded, helpful
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27 Jan 2026 Job Information Organisation/Company Deutsches Elektronen-Synchrotron DESY Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER