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Field
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. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs
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energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our
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energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our
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About the opportunity: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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particular Shannon Theory. Knowledge of coding theory. Interest in mathematics. Knowledge of artificial intelligence is a bonus. Our offer Collaboration with leading researchers at TUM and TU Dresden
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before starting in the position. We only accept applications and documentation sent via Jobbnorge (jobbnorge.no ) within the application deadline. Use of artificial intelligence (AI) related to any aspects
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combine laboratory experiments, numerical simulations, artificial intelligence and field observations to address outstanding questions in physical oceanography, atmospheric sciences, physical limnology
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, Communications Engineering, or a related field. Strong knowledge of Information Theory, in particular Shannon Theory. Knowledge of coding theory. Interest in mathematics. Knowledge of artificial intelligence is a
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, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With
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Artificial Intelligence, Computer Science, Data Science, Operations Research, Industrial Engineering, or a closely related field. A motivated candidate with a research-driven mindset and a genuine interest in