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Field
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | about 1 month ago
the following requirements: A Master’s degree (or equivalent) in biomedical sciences e.g., Microbiology, Immunology, Biochemistry, Chemistry, Bioinformatics, Physics, Pharmacy etc. and an ambitious and
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of bacteria are advantageous, as is experience with fluorescence microscopy and bioinformatics. We are looking for highly motivated and team-oriented candidates with a passion for science and excellent written
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biomedical engineering, bioinformatics, biotechnology, molecular imaging and biomaterials. Training within the RegSci PhD programme takes place across three levels: students carry out their own research
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programme culminating in either a PhD or a German Dr rer nat degree. Biomedicine The biomedicine section is involved in the study of physiological and pathophysiological processes. Research efforts focus
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physiological processes of plant growth, development, reproduction and interaction with other organisms. In a plant’s life, interactions occur at multiple levels: among others, between its plastids and the
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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | 3 months ago
, bioinformatics, chemistry, chemical biology, physics, biophysics or another relevant field. The International Max Planck Research School Principles of Microbial Life is a joint initiative of the University
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contributions of these mutations remain poorly understood. Fortunately, advances in genome sequencing and bioinformatics now allow the prediction of deleterious mutations from whole-genome data, enabling
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studies have confirmed SPPL3’s capacity to act as a potent regulator of glycosylation-dependent physiological processes, e.g. in the context of tumor immune evasion. As part of a newly DFG-funded project
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English