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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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well as their derivatives. 1.6 Pre-required skills and abilities This position requires a candidate with knowledge of optimization strategies based on mathematical programming, experience in energy systems modeling and basic
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project MetaExplore, coordinated by the University of Cambridge (UK) (https://metaexplore.eu/ ). MetaExplore has been set up to provide young researchers with hands-on research experience and formal
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worldwide. Its particle accelerator produces intense X-ray beams that are used by thousands of scientists each year for experiments in diverse fields such as biology, medicine, environmental sciences
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of Research Experience1 - 4 Additional Information Eligibility criteria The ideal candidate holds a PhD in materials science with a strong focus on biomaterials, demonstrated experience in biopolymer
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inference. We are looking for a PhD student with a strong interest for evolutionary processes and good computational skills. Programming experience is a prerequisite, and experience using the programming
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capacities are influenced by changes in gene expression and/or by the intrinsic mechanical and structural properties of heterochromatin. Experimental Approaches To address these questions, the PhD candidate
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experimental mouse models in an immunology and/or oncology context. You will have some experience of current single cell omics technologies including single cell RNA-seq, high dimensional flow cytometry and
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academic record, including research experience (e.g., thesis, publications, or projects) demonstrating analytical and methodological skills. 2. Research Skills - Competence in quantitative methods: survey
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knowledge of user experience and interactive digital systems - Solid methodological skills (exploratory, descriptive, experimental) - Prior experience writing a scientific paper is appreciated - Very good