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Field
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Package: Actively participate in a participant-driven co-design process to develop a framework for returning molecular and imaging data to study participants Contribute scientific content to patient
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
implementation of an atomic rate solver for electron excitations and ionization. # All relevant processes, including photonic excitations and ionization, recombination, Auger-cascades and transport shall be
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software technologies Proficiency in English Experience in parallel training of large DL
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-generated protein designs only become impactful contributions if validated experimentally. We aim to build a fully automated platform for high-throughput synthesis of protein designs and measurement
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technologies Proficiency in English Experience in parallel training of large DL models is a plus While the position will be a team effort, it is a multicenter project and thus independence and capability
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
and field settings Your Profile PhD in marine biology, bioinformatics, genetics, molecular ecology, or a related field Strong background in population genetic theory Proficiency in at least one
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data. Building on these results and codebases, the successful candidate will work on a bioinformatics and machine learning research project on the inference of alternative splice forms using deep
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the institute, and a dedicated, powerful bioinformatics server infrastructure has been established for data analysis. We seek an enthusiastic scientist with interests in bioinformatics, microbiology, and