332 parallel-programming-"NTNU-Norwegian-University-of-Science-and-Technology" positions in Sweden
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research areas that can be interconnected to our new master's program in building technology with focus on sustainability and digitalization. Research results are expected to be published in journals of high
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and production development, mechanical engineering, industrial engineering, or equivalent. experience in programming, preferably Python. fluent in spoken and written English. proficiency with mechanical
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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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AI, Autonomous Systems and Software Program (WASP). As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include
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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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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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initiatives: ISWIM – Innovative Stormwater Impact Mitigation, supported by Formas, and REWAISE – Resilient Water Innovation for a Smart Economy, supported by the EU Horizon 2020 program. Both projects