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The Department of Physics and Technology is excitedto announce a vacant position of Postdoctoral Research Fellow in the area of sea ice model parameter optimization with Earth Observation data at UiT The Arctic
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research and education in data science, statistics, machine learning, optimization, and business analytics. The department collaborates closely with industry and the public sector and hosts regular research
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the mitochondrial population (PMID 38043948). Already supported by experiments in model plants, this theory suggests that emergent mitochondrial behaviour reflects an optimal solution to a collective of social and
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supported by experiments in model plants, this theory suggests that emergent mitochondrial behaviour reflects an optimal solution to a collective of social and physical trade-offs in the cell. This project
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integration and optimized operation using machine learning and AI techniques as key drivers for improving system performance. The hired candidate will have the opportunity to work with cutting-edge energy
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) on physical robots. • Use evolutionary algorithms to optimize both the robot’s body and brain together. • Apply quality-diversity methods to discover a wide range of high-performing designs
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to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and reasonably priced. relocation programme Diversity Diversity
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cross-regional logistics network scenarios, data collection and development of decision support models for optimal maritime infrastructure for collection of the captured CO2 from the emitters and
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and iteratively improved. • Integrate and test autonomy stacks (perception, learning, planning) on physical robots. • Use evolutionary algorithms to optimize both the robot’s body and brain
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to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and reasonably priced relocation programme and language courses