223 computer-engineering-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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KIN Center for Digital Innovation The KIN Center for Digital Innovation is an internationally recognized research group at the intersection of organization studies, strategy, and technology. KIN
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research under the supervision of Prof. Fabian Eisenreich in the Department of Chemical Engineering and Chemistry at Eindhoven University of Technology. You will join the Polymer Performance Materials
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(max. 10% of your time). Your qualities We are looking for an enthusiastic candidate, who has (almost) finished a Master programme in Sociology, Interdisciplinary Social Science, or a related field; has
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technology (TNW) focuses on three domains, namely Physics, Chemistry, and Health. We are the home base for the research institutes TechMed, MESA+, the Techno Centre for Education and Research TCO , and the
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of Technology Mathias Peirlinck creates 'digital twins' of the human heart: personalised computer models that map the functioning of each unique human heart. This work paves the way for the development of more
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team: You will join an internationally recognized multidisciplinary research environment where imaging scientists, analytical chemists, biologists, clinicians, computational scientists and biomedical
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environment. You will closely collaborate with researchers and clinicians across experimental, clinical, and computational disciplines, gaining exposure to cutting-edge cardiovascular research and advanced
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qualifications: A MSc in hydrology, Earth sciences, physical geography, environmental science, civil engineering or a related field; Experience with making geoscientific field observations and interpretations in
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benefit from the state-of-the-art research facilities and financial support programme through the ERIM Support Programme (ESP), that ERIM set up for a wide range of research-related activities such as
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wearable technology contribute to the reduction of coercion, and when might it create new ethical concerns? What practical ethical dilemmas arise when physiological data are used in clinical teams