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competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
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project in collaboration with AstraZeneca Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers University of Technology conducts
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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of Cultural Sciences and is affiliated with the national research programme Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). It is also part of the research cluster AI
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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data Driven Life Science (DDLS) aims to recruit and train the next generation of data driven life scientists
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manager to efficiently manage scientific projects and programmes. You will work as a team with an event coordinator under the day-to-day management of the science manager. You will be primarily responsible
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courses and study programmes if the applicant: has been awarded a second-cycle qualification, or has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were
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reports for the BioSinFin project. Admission requirements A person meets the general admission requirements for third-cycle courses and study programmes if the applicant: has been awarded a second-cycle
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. The Department of Computer Science and Informatics provides academic programmes in subjects ranging from software engineering and embedded systems to user experience design and cybersecurity, and is also
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reasoning approaches that can revise their conclusions in face of new evidence/knowledge. The plan is to cover both nascent approaches that are considered promising facilitators of the fusion of subsymbolic