86 parallel-computing-numerical-methods-"Simons-Foundation" 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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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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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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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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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
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and cutting-edge High Performance Computing resources. The city of Dresden provides numerous chances for scientific exchange and collaboration. TUD strives to employ more women in academia and research
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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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, numerical information field theory, CMOS detector technology and UBIK (see https://arxiv.org/abs/2409.10381) Modeling & Simulation: Development of fast, accurate and differentiable digital twins of CMOS
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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 interdisciplinary scientific structure. An interest in research questions within oral medicine, knowledge of orofacial biomechanics, numerical analysis, methods within artificial intelligence and modeling