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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 21 days ago
Job description:Postdoc (f/m/d) AI-based automated adaptation and biological optimization of proton therapy With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees
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collaboration with world-leading research groups Selection process Please send your CV (including publication list), contact information for two references and a motivational letter to Jacob (Jacob.Schneidewind
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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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expertise from the whole group in multiple facets of quantum technology and optimization Direct contact with research project writing, reviewing and management process Opportunity to participate in
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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of expression systems Metabolic flux analysis for pathway characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution
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characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution to platform development for metabolic engineering What you
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and