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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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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 University of Norway
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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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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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. • Integrate and test autonomy stacks (perception, learning, planning) on physical robots. • Use evolutionary algorithms to optimize both the robot’s body and brain together. • Apply quality-diversity
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theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able
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of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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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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desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality theory, sequential inference, computational
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platforms, and precision oncology. Responsibilities Develop and optimize in vitro models and methodologies to investigate cytotoxic lymphocyte-mediated cancer cell death. Perform genome-wide CRISPR screens