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into the challenge of integrating and analyzing large and diverse environmental and health datasets. Using semantic data linking, you’ll help turn complex data into actionable, FAIR (Findable, Accessible
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limits of QEC. Although specific research topics will be defined in collaboration with the selected candidate, potential directions include investigating the efficient, low-complexity, and high-performance
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Centre for Environment-friendly Energy Research, facilitating a secure, resilient, and sustainable electricity distribution grid that ensures both the security of electricity supply and a path to a net
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, spectroscopy suites, crystallography access, and facilities for handling air-sensitive metalloproteins/complexes. We offer comprehensive training across these methods as needed; strong motivation, curiosity, and
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Cybernetics at NTNU is offering a fully funded PhD position in the area of learning-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks
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Centre for Environment-friendly Energy Research, facilitating a secure, resilient, and sustainable electricity distribution grid that ensures both the security of electricity supply and a path to a net