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The Gut-Immune-Brain Axis Lab (Prof. Seppe De Schepper, VIB-UAntwerp) and the Brain and Systems Immunology Lab (Prof. Kiavash Movahedi, VUB) have a vacancy for a full-time (100%) co-joint doctoral
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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly
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of data and application of statistical models in biomedical contexts; Dissemination of the project's results, including scientific publications, events, conferences and social networks; Management and
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are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate change. Engineering and applied physics
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of neuroscience. The PhD will be integrated in the Peripheral Neuropathy research group of Prof. Vincent Timmerman . About the project Charcot-Marie-Tooth neuropathy can be caused by mutations in different genes
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domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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of neuroscience. The PhD will be integrated in the Peripheral Neuropathy research group of Prof. Vincent Timmerman . About the project Charcot-Marie-Tooth neuropathy can be caused by mutations in different genes
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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | about 1 month ago
have hands-on experience in crop genomics and managing genotyping data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using