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Field
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photocatalytic degradation of Per- and Polyfluoroalkyl Substances (PFAS) with optimized COFs Look for necessary collaborations with internal or external collaborators (e.g. theoretical modelling and advanced
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. Develop and enhance advanced optimization algorithms for the Energy Management System (EMS), addressing energy dispatch, storage control, load scheduling, and strategies for market participation. Architect
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processes and develop innovative tools in cell biology. Key Responsibilities: Conduct experimental research using quantitative biochemistry, biophysics, and cell biology. Develop and optimize advanced
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization
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of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to the research agenda of the project ‘Geometric Optimization and Design in Learning and Robotics'. Key Responsibilities
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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; analyze and interpret data Apply data to the iterative design of optimized chemical probes suitable for cellular and in vivo pharmacological studies Maintain accurate lab records and documentation
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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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addresses major limitations in surgical force sensing and has strong potential for commercialization and clinical impact. Key Responsibilities Redesign and optimize a fiber-optic (FBG-based) force sensor