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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
experimental method is GISAXS both ex-situ and in-situ during solvent vapor annealing. At RUCSAXS an advanced setup for such in-situ studies is available. The postdoc is expected to participate in
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at least one of the following areas: theoretical computer science (e.g., formal methods, design automation, algorithms) and reinforcement learning. The candidate should be open to practical
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at least one of the following areas: theoretical computer science (e.g., formal methods, design automation, algorithms) and reinforcement learning. The candidate should be open to practical
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participatory methods and contribute to bridging research and real-world implementation. We expect that you will be an important part of the research environment and that you will contribute positively
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participatory methods and contribute to bridging research and real-world implementation. We expect that you will be an important part of the research environment and that you will contribute positively
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., Statistics, Mathematics, Physics) and a passion for problem solving You are highly experienced in a research environment with a well-established publication track record You have formal training in
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, or numerical methods. Your job responsibilities As a Postdoc in Quantum Enhanced MRI your position is primarily research-based but may also involve teaching assignments. You will contribute to the development
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advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal qualification, you must hold a PhD
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
and scientific exchange. A high degree of professional engagement and involvement in study designs, data analysis, and method development - your ideas and contributions will be welcomed at all stages
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observations (including remote sensing) or model outputs. Establish approaches to quantify uncertainty in model outputs using different methods. Run scenario analyses to identify management practices with