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outstanding candidates for a PhD position in the interdisciplinary field of Energy and Artificial Intelligence (AI). This PhD project will focus on developing fast and accurate models for real-time optimization
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, and increasing the number of professionally active seniors "Hjem-jobb-hjem" discounted public transport to and from work as an employee in Norway, you will have access to an optimal health service, as
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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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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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, and employ innovative design approaches and modelling techniques such as optimization algorithms. Specifically, your study will involve: Thermal Insulation Behaviour: The research will model how thermal
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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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routes to identified target compounds and using these to produce compound libraries for further evaluation in various assays. We plan to use the departments laboratory for automated chemistry to optimize
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“Optimizing hydroelectric operations using predictive maintenance under data uncertainty” from August 18, 2025. This position is associated with the FME RenewHydro center . The position is located