61 algorithm-"Multiple"-"Prof"-"U.S"-"Simons-Foundation" "University of Wisconsin Madison" positions in Sweden
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challenges has positioned the Department at the forefront of several research areas and generated multiple spin-off companies also located at Medicon Village. We offer Lund University is a public authority
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the autumn of 2025 or as agreed. Project description This doctoral position has a special focus on sustainable data cultures, algorithmic decision-making and AI solutions within municipal companies
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one of the main bioinformatic sites at Umeå university with over 20 bioinformaticians supporting multiple research fields, hosted at the Department of Plant Physiology. The workplace is located right
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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to team dynamics and project development. Strong organizational skills, including the ability to manage time effectively and handle multiple priorities. Consideration will also be given to how
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responsibilities Financial coordination of projects within SciLifeLab in collaboration with multiple universities. Manage budgets, fund allocations, and payment flows Serve as financial contact point for project
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collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We teach bachelor, Masters and PhD level courses addressing all
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sites at Umeå university with over 20 bioinformaticians supporting multiple research fields, hosted at the Department of Plant Physiology. The workplace is located right at the Chemical-Biological Centre
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that may remove such constraints, leading to a fundamental challenge: the potential co-existence of genetically distinct clones, each supporting multiple stable cancer cell states. To understand the effect
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering