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engineering for ships, incl. optimal energy and emission management of hybrid electric power systems. Your place of work will be at the Department of Marine Technology . About the project The STEESMAT project
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disorders (e.g., Cushing’s disease, metabolic syndrome, cardiovascular disease, sleep and shift work disorders). Beyond clinical applications, the research may contribute to optimizing athletic performance
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strong emphasis on energy modeling and data analysis Applicants must have experience with one of more subjects: Simulation in Python, MATLAB/Simulink Numerical optimization Data optimization and analysis
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deterministic PDEs and equations subject to stochastic perturbations, integrating approaches from machine learning algorithms, transport theory, and optimization. Examples of relevant equations include, but
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optimizing workflows for large-scale genetic and neuroimaging datasets is an advantage. Documented experience with Open science practices is an advantage. The evaluation of applicants is based on documented
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the crash structures and battery enclosures of electric vehicles to enhance safety, where an optimal balance of strength and ductility is important. These crash structures are often made from extruded
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-balance model and hydropower optimization The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no
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of these oat cultivars in ruminant diets will be addressed and the main objective is to ensure optimal utilization of oats in the diet, and thereby to ensure that oats strengthen its position as a highly
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play a central role in customizing and enhancing an existing PTR-MS instrument, with a particular focus on reconfiguring and optimizing the inlet system for radical detection. Key responsibilities
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modeling, control engineering, and optimization is a distinctive advantage. Possesses a strong academic record, with relevant experience in either industry or academia. Has prior professional experience and