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offer high-quality degree education. The Marine and Arctic Technology research group at the Department of Energy and Mechanical Engineering is looking for a doctoral researcher on the topic " Optimization
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for outstanding Postdoctoral Researcher in Distributed Machine Learning and Optimization for Multi-Agent Wireless Networks. Are you a highly motivated researcher with a strong mathematical background in distributed
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of Techno-Optimism (SUSTHOPE)” (funded by the Research Council of Finland 2024-2028) Are you interested in exploring how techno-optimism shapes sustainability transitions? Do you want to develop new
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not essential for the application. Have experience in: (i) creating and maintaining optimal data pipeline architecture; (ii) assembling large, complex data set and set up annotation tools; (iii
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on the development and applications of quantum machine learning algorithms, more specifically the optimization of variational quantum circuits, but also other topics can be explored depending on your interests. You
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on their potential to forecast disruptions, optimize resource allocation, and improve adaptability in dynamic business environments. It will provide both theoretical advancements and practical recommendations
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of the Postdoctoral Researcher include experimental development and optimization of biosensors, performing electrochemical analyses, collaborating closely with commercial partners, and actively participating in
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resulting food products. You will also learn to analyze peptidomics data to understand and optimize structural changes in proteins following bioprocessing. Skills, expertise and/or qualifications
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they can be used to optimize resource flows and enhance system sustainability. Candidate is required to have computational or modelling skills and forecasting for this topic. Supervisors: Marko Torkkeli (LUT
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, planning, and economics. Strong skills in mathematical programming, optimization, and game theory. Strong programming skills in implementing optimization problems using programming languages such as GAMS