39 assistant-professor-computer-science-and-data-"Prof" PhD positions at Chalmers University of Technology
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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Environmental Engineering at Chalmers. Developing your own scientific understanding and independently driving the research project with the help of the supervisory team. Formulating and designing research studies
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research activities in the project, in collaboration with supervisors and other researchers. Take PhD courses as part of the Doctoral Programme "Human-Technology-Design" Develop your own scientific concepts
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to study turbulent ship wakes and their effects on the marine
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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to departmental duties, including teaching and lab assistance. Discover more Find more general information about doctoral studies at Chalmers here . About the research environment The Division of Electric Power
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures
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modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and