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involves software development, measurements using local and large international facilities, and a keen eye on developing relations between local order and material properties. The candidate must have a
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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programming and ease with formal thinking are prerequisites. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial
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to collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, and PhD students. Candidates will become part of a collaborative work environment within and outside QGG
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algorithms, and the integration of models and algorithms into simulation analysis. As a formal qualification, you must hold a PhD degree (or equivalent) in areas such as chemical engineering, chemistry
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optimal alternatives that may be relevant for the decision maker. You will be responsible for developing new, fast solution methods for stochastic optimization problem that can find many near-optimal
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. The candidate will collaborate closely with team members to develop novel quantum computing algorithms that leverage hybrid detection methods and explore the potential of 3D cluster states for enabling fault
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Professor Thor Grünbaum. The Selection in Cognition project develops and tests a new theory of basic cognitive selection mechanisms by combining methods and perspectives from experimental psychology
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and new experimental methods and instrumentation, to design creative and cost effective CO2 trapping processes. The need is urgent, the task is challenging and a multidisciplinary approach is essential
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supervise BSc and MSc student projects and co-supervise PhD students; As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized