17 phd-student-fpga 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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own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important
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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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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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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
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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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models into Chalmers’ bridge simulators in collaboration with other researchers. You are also expected to supervise PhD and MSc students and to publish at least two peer-reviewed journal articles during
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with the project’s Principal Investigator, and practical implementation of this research with the AIMLeNS team. The role also offers ample opportunities to mentor PhD students, supervise MSc projects
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the co-supervision of master and PhD students and in the participation of research activities within the group. What we offer The position is a temporary full-time employment for two years. As a postdoc at
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proteins or related research questions. Your major responsibility is to perform research, but the position may also include teaching in the form of supervision of MSc students and junior PhD students