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Field
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of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination with high-performance computing (HPC), parallel
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with high-performance computing (HPC), parallel computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks
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durability compared to existing PV modules and, in the process, train a group of young engineers in developing more circular PV modules to spark future innovations . In parallel, we aim to implement
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experiments as well as bioinformatics and advanced imaging techniques. Your core tasks are: Cloning and expressing recombinant proteins. Developing and optimizing purification protocols. Designing and
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improving techniques to collect, process and store genetic material (sperm, embryos, egg cells, and ovarian tissue) from a wide range of farm animal species – from cattle and chicken to sheep, bees and
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on: - Interdisciplinary project on bioinformatics, biocatalysis, and chemistry. - Genome-guided identification of novel halogenases. - Metagenomic prospecting of natural metalloenzymes (industrial secondment
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within a Research Infrastructure? No Offer Description Are you passionate about improving diagnostics and care for people with rare diseases? As a PhD candidate in bioinformatics or genomics at Radboudumc
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function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice of data structures, static analyses and compiler optimizations, parallelism and concurrency
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, machine learning, bioinformatics, AI, or a related field. Strong background in machine learning and data analysis. Interest in single-cell omics, spatial data, or systems neuroscience. Intellectual
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profiles, and large computational domains surpassing several thousands cubic wavelengths. Furthermore, you will contribute to adapting the solver for massive parallel processing, as well as develop new