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at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms, and tools
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education . Skills and personal qualities In addition to the aforementioned requirements for the position: A demonstrable computational competence, comfortable with using and developing algorithms, data
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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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schedule Experience successfully working in a team Fluency in Swedish Place of work: Umeå Forms for funding or employment: Doctoral studies at SLU with 80% study activity and 20% work at Komatsu Forest AB
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realistic schedules to meet the project deadlines while producing high-quality output. Excellent collaborative skills and a deep interest in working with our cross-disciplinary project team and the AMMP
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about mental health. While having the security of this research community, as a PhD student you will have great control over your personal work schedule. Scientific Background: The industrial Steam