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Computer Science, fully funded by a major research project from the Novo Nordisk Foundation (NNF). The successful applicants would become part of the Data Science & Statistics section at the department
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various areas of theoretical and computational chemistry such as quantum and semi-classical theory of molecules, electronic excited-state dynamics and relaxation, materials and light, statistical mechanics
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Job Description Are you passionate about acoustic signal processing? We are seeking a highly motivated PhD candidate with a strong background in acoustics, microphone array processing, statistics
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able to work with very large data and have the creativity and curiosity to work with network measures and statistics. You may also be an expert on grounded computational social science: combining large
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2026 Apply now The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences, Environmental Sciences, Biology, Chemistry, or other appropriate
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training dataset of well-studied volcanoes with known large eruptions, the project will employ statistical and machine learning (ML) methods to identify the strongest predictors of eruption magnitude
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, statistical mechanics, reaction kinetics and dynamics, and theory/simulation of ultrafast time-resolved experiments. You will be a part of the Physical Chemistry section at DTU Chemistry (https
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, combining both accuracy and explainability; (3) extend statistical learning theory to offer theoretical bounds for intrinsically-aligned AI models; (4) employ the newly-developed metrics to train deep neural
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qualifications as stated below: A MSc degree in agricultural science, or related disciplines. Solid knowledge of whole plant and crop physiology. Good technical skills and practical experimental experience with
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to staff position within a Research Infrastructure? No Offer Description The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences