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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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contribute to the university's development work. The tasks also include general administration and professional development, as well as participating in daily operations related to the division, our programs
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at university level. The criteria for evaluation are: an ability to plan, implement and evaluate teaching and an ability to supervise and examine students at every level of education an ability to vary teaching
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Job assignment: The doctoral candidate program amounts to 240 credits (equivalent to four years of full-time study). It formally ends with the doctoral candidate publicly defending his/her printed
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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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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