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the assessment of applicants, particular attention will be paid to research expertise. Research expertise shall be demonstrated by independent research at a high international level. Proven experience in
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prestigious international grant aimed to give long term support for groundbreaking research. The project is devoted to learning-based control for high-dimensional data, with application to individually
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in a report/article. Operation, validation and modelling of a lab/pilot scale different membrane processes for battery processes. Analysis of raw materials and recovered components. Techno-economical
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to have the abilities necessary for successfully completing the third cycle programme. Terms of employment Only those admitted to third cycle studies may be appointed to a doctoral studentship. Doctoral
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evacuation scenarios. Qualifications Requirements for employment are: A Master degree in the Engineering domain (e.g., Virtual Reality or Computer Science) or equivalent. Research experience in the domain
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, technology, and organizations; the relationships between the work environment and human health, safety, well-being, job satisfaction, motivation, and performance; as well as the connection between the design
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other -omics data. Other tasks within the research group may also be relevant. Qualifications The requirements for the position are: PhD in bioinformatics, genetics, statistics, computer
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researchers at Lund University, Karlstad University and Södertörn University, and funded by The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The research group
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or PEEM, where relevant. Detailed description of the work tasks: Responsible for designing, planning, and performing experiments, with participation of colleagues/collaborators Responsible for designing
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for improving, designing, planning, and performing experiments, with participation of colleagues/collaborators Responsible for designing, planning, and performing SAXS/WAXS analysis The project is in