292 programming-"Multiple"-"Prof"-"Newcastle-University"-"U.S"-"Humboldt-Stiftung-Foundation" positions in Sweden
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biotechnology, life sciences, molecular biology and biomedicine. In addition, it includes supervising research and contributing to development projects. Establishing a research program in translational
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stakeholders at all SciLifeLab sites in Sweden, e.g. representing the technology platforms, the national data centre, the operations office, the training hub, the data-driven life science (DDLS) research program
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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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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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communication, rural development, landscape architecture and agrarian history. Comprising approximately 180 employees, the department is responsible for around 80 courses and seven academic programs
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based primarily on the relevance and quality of the submitted research plan and secondarily on other scientific merits. Importance will be placed on experience of engagement with non-academic stakeholders
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Lund University Visiting Professors Programme Lund University invites expressions of interest for its Visiting Professor Programme. We seek individuals eager to engage with our vibrant research
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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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. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data