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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer
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://www.imec-int.com/en/home ) (prof. C. Fleischmann). Profile You hold a PhD in computer science, physics, mathematics or engineering (or you will have obtained it by the time you start work). You have
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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industry and academia. Eligibility criteria You have a PhD/Master degree in (Applied) Mathematics, Computer Science, Engineering or Physics. You have experience in programming and a general interest in the
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applied to physics, e.g. PiC and MHD. A proposal for a research line to be developed over two years on the topics outlined above. Education: PhD degree in physics, engineering, mathematics, or equivalent
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Experience in using parallel computing facilities Desirable: Experience with astroplasma simulations Knowledge of computational methods applied to physics, e.g. Particle-in-Cell. Education: PhD degree in
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission