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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. The successful candidate
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The Centre for Machine Learning located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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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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, computer science, and statistics. This PhD project falls under Research Thrust RT4 on Reliability and Trustworthiness. The objective of the PhD study is to explore and address research and design challenges
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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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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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, 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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, processing video data, and applying AI models to improve efficiency in population and behavioral analyses. Fieldwork will be combined with statistical and spatial analysis using RStudio and GIS tools. In
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Job Description Do you want to shape the future of healthcare in the era of digitalization with a focus on scientific research? Then we have the right opportunity for you. We are looking for a talented and ambitious PhD student to join our Hospital-at-Home (HaH) project. The Department of...
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. The PhD project falls under Research Track 1: Informational Modes of Learning. Functional connectivity captures the statistical relationships between distinct brain regions, whereas effective connectivity