342 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" positions in Sweden
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demonstrated by documented experience of teaching with scientific foundation at university level. The criteria for evaluation are: an ability to plan, implement and evaluate teaching and an ability to supervise
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advanced models for genomic selection to improve breeding programs in plant and animal breeding. You will analyze genetic data: Use bioinformatic and genomic methods to process and interpret large-scale
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and expertise will strengthen an application: proven experience with Unix command-line interface (CLI) and Bash scripting proficiency in a higher-order programming language like Python or R experience
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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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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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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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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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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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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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) 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