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synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
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Job Description To support advancements in artificial intelligence (AI), machine learning, and data science at the University of Southern Denmark, the Maersk Mc-Kinney Moller Institute invites
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inequality in access to general practitioners (GPs) in Denmark. We are looking for a person with a relevant degree (MD, MSc. etc.) Project description For the research project “Medical Deserts and Health
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. The consortium consists of world-class scientists with competences spanning chemistry, biochemistry, computer science, and machine learning. All fifteen doctoral candidates will work with two research groups, and
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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at the Department of Public Health. You will also be given the opportunity to participate in the bi-weekly research meetings at the department of Clinical Biochemistry, Herlev Gentofte Hospital, where you will learn
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of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best
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degree at the highest international level. You will become part of an active learning environment, in Denmark as well as abroad, and you will obtain an extensive academic knowledge e.g. by participating in
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which allows to acquire knowledge in new experimental techniques and quantum matter physics. We offer: • A PhD Student position in an ambitious and supportive, international research environment • A