56 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Umeå University in Sweden
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at the Faculty of Medicine will be part of the faculty-wide doctoral education programme. The doctoral programme comprises 25 credits and is offered in two study variants: 25 credits spread over 8 terms (a total
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multidisciplinary theme. The program prepares next-generation computational biologists with strong complexity thinking and tools applicable to living systems across organizational scales, addressing major
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to development projects. Establishing a research program in translational computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization
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/ This postdoctoral fellow position is part of a new Career Programme for early-stage researchers in Educational Sciences initiated by the Umeå School of Education. The Career programme aims to strengthen Educational
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the RELOC-AGE research programme. A web-based housing counselling service has been developed in the programme with the aim of supporting older people to make well-informed decisions about their future housing
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delivering a mentoring programme for young MIMS group leaders and establishing an alumni network. Further day-to-day tasks may be assigned as required. Qualifications You will need a good understanding of the
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, including a joint postdoctoral programme of the Nordic EMBL Partnership for Molecular Medicine, drive fund raising and manage external reviews and refunding process. You will use your scientific and
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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expect the successful candidate to be present at the workplace in Umeå and participate in the department's joint activities. The application must include: A research plan describing the proposed doctoral
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experience in programming. We offer the opportunity to develop and expand in different areas of work when it is in line with the project goals. The candidate will study and integrate large data sets and