21 phd-self-adaptive Postdoctoral research jobs at Chalmers University of Technology in Sweden
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computer. The WACQT team at Chalmers currently has about 100 members (faculty, permanent research staff, postdoctoral researchers, PhD students, and undergraduate students). WACQT is committed to promoting
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their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
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institutes and industry partners play a key role in our work. Our group currently includes 1 Professor, 1 Senior Scientist, 4 Postdocs and 8 PhD students. Your research will focus on significantly reducing
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collaboration with the Multiscale Inorganic Materials group, both part of the Division of Energy and Materials at Chalmers . The two groups together comprise nine senior researchers and 27 PhD students and
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stiffness or stretchability. You will collaborate closely with PhD students and Postdocs in our group as well as external partners to study the mechanical, electrical, and electrochemical properties
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the research group Publish and present your work at conferences and in journals Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and