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teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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and estimation Multi-agent planning and cooperation Communication-aware coordination strategies Learning-based control in networked systems Resilience and safety in multi-agent systems
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the doctoral program and is based on the following assessment criteria (listed without inherent priority): previous academic performance the quality of the research sketch submitted and its relation
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/thesis: Industry-/collaboration PhD student in optimized off-road driving in forests Research subject: Soil science Description: We are looking for an industry/collaboration-based PhD student to develop a
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, take responsibility for the organisation and their own work duties and contribute to a positive work environment. The PhD study will be based on close cooperation with municipalities and stakeholders and
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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and eagerness to learn the required techniques as well as interest in the meritorious skills and experiences. On a personal level, we are looking for a good team player who can also work on their own
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the
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will be evaluated for suitability based on the above listed qualifications. The application must include: A letter in English of max. 500-800 words. This should contain a brief presentation of yourself