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these postdoctoral positions are aimed for you! Subject description The project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by an ERC Advanced Grant, a
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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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fundamental and applied research in different areas of Human-Computer Interaction (HCI) such as visualization, human-centered design, privacy, graphical design, and human-centered AI. We are looking
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. Qualifications We invite applications from outstanding researchers with the following qualifications: a doctoral degree (not older than three years) in any field relevant to project, i.e., machine design, product
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well as excellent collaboration and communication skills. A good communicative ability in both spoken and written English is required. Meritorious Previous experience working with warp knitting machines. Previous
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. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms
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leave or military service.* You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. * The date shown in your doctoral degree certificate is
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application! We are seeking up to two advanced-level students in computer science, computer engineering or closely related area as research project assistants (programming, system administration). The position
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included, but for no more than 20% of working hours. The position offers the opportunity to undertake three weeks of training in higher education teaching and learning. The purpose of the position is to
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made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your application: Priority will be given to candidates with a relevant