107 parallel-computing-numerical-methods-"Prof" uni jobs at Nature Careers in Germany
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Are you ready to lead a cutting-edge Genomics Core facility while developing state of the art genomics methods? Join us at EMBL! We are seeking talented scientists to develop and lead a cutting-edge
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
of the Heidelberg University is recruiting a visionary Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disease (f/m/d; tenured) This is not just a job—it’s a mission. A
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advances to support life science research. EMBL has been at the forefront of numerous engineering and microscopy breakthroughs, significantly advancing imaging technologies and enabling new biological
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University Magdeburg invites applications for the position of a Professor in General Psychology and Computational Modeling (Open Rank W1/W2 with Tenure Track to W3) The successful candidate should have a
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We seek a highly motivated Computational Scientist (m/f/d) for Cancer Antigen Discovery to join our Computational Genomics unit. We are an interdisciplinary team of scientists, PhD students, and
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
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. The position will be in the group of Prof. Thomas Heine at the Chair of Theoretical Chemistry where 40 researchers from 9 nations work interdisciplinary in the fields of computational materials science
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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essential for numerous projects in particle and astroparticle physics at KIT, particularly for the Karlsruhe Tritium Neutrino Experiment (KATRIN). The Tritium Laboratory is also indispensable for KIT's fusion
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interdisciplinary program, HEIBRiDS trains young scientists in Data Science applications within a broad range of natural science domains, spanning from Earth & Environment, Astronomy, Space & Planetary Research