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dynamics (CFD) #Experience with high performance (HPC) computing and parallel programming is a plus #Demonstrated capacity of independent scientific work is a plus Enquiries regarding this position can be
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timetable for the four-year project to be submitted to DAAD. Development of relevant analytical methods and setting up of required laboratory equipment will be conducted in parallel. Execution of the research
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computer science, biology, medicine or a related field-or possess equivalent expertise You have strong knowledge of HPC and parallel computing You are proficient in C++, CUDA, and Python You are familiar
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experiments, in vivo studies are to be arranged and analyzed together with the existing specialist staff. In parallel, we collaborate with computer scientists who develop "digital twins" of target tissues and
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pathological conditions. Based on in vitro experiments, in vivo studies are to be arranged and analyzed together with the existing specialist staff. In parallel, we collaborate with computer scientists who
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 2 months ago
genetic architecture of female body size using GWAS. In a parallel evolve and re-sequence (E&R) project, D. simulanspopulations will be experimentally evolved for larger body size. The availability
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of Parallel computing Independent, goal-oriented and responsible working style What you can expect Insight into exciting research projects Cutting-edge research thanks to top technical equipment Practical
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of memory, senescent, and exhausted T-cells with age. The PhD candidates will work on: Identifying key metabolic pathways involved in T-cell aging using advanced genetic models that allow for parallel CRISPR
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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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to analyse large data sets Comprehensive experience with HPC system usage, parallel/distributed computing, as well as diverse architectures and understanding of its impact on application performance Firm