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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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hardware architectures. The applications domains are diverse, ranging from AI for science, over AI for semiconductor process technologies to automotive and health applications. Within this department
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at the forefront of both fundamental and translational science.•Access to a state-of-the-art research infrastructure at a top-ranked university.•Expert training in laboratory and bioinformatic techniques required
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is
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center for research on protein aggregation in human disease. We are an interdisciplinary team of ~25 researchers with expertise spanning bioinformatics, biophysics, and cell biology. SWITCH hosts a unique
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organization, and how these properties are altered by pathological processes across multiple biological scales. The position is available in the team of Dr. Andra C. Dumitru in the nBIO group at LIBST, UCLouvain
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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accumulate genetic and epigenetic changes that fuel somatic evolution through drift and selection. Over time, these processes turn tissues into molecular mosaics containing competing subclones, often carrying
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(single cell transcriptomics, proteomics or long-read DNA or RNA sequencing) will therefore be desirable. Tight collaboration with the bioinformatics team in Amsterdam will be critical, thus good
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knockout mouse and hamster models is an advantage.•Familiarity with data analysis, bioinformatics, and modeling for transcriptomics and immunoprofiling is an advantage.•Knowledge of BSL3 laboratory