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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et
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to): Radiochemistry of small molecule molecular imaging probes to interrogate tumor biology and predict response to therapy. Optimize and characterize imaging agents for preclinical and translational cancer studies
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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analytical and problem-solving skills to troubleshoot and optimize experimental protocols; - Familiarity with metabolic engineering and bioprocess development will be considered an advantage
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of advanced laboratory techniques with cutting-edge computational methods. The CTCN includes a Neuroimmunology Core which specializes in the optimization and deployment of novel experimental platforms
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Researchers: Ph.D. in Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent
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design accounting for system effects and emerging technologies What you will do In this position, you will join the imec PACTS department (Pathfinding Co-Optimization Technology and Systems), in
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are looking for a curious and driven postdoctoral researcher to join a project focused on improving how we study and optimize medical treatments. The work centers on advancing a vessel-on-a-chip platform—a
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The University of Washington School of Pharmacy (UWSOP) Plein Center for Aging is committed to optimizing older adults’ medication outcomes and promoting healthy aging. The Plein Center for Aging is offering a 2
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record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in written and spoken