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state-of-the-art data storage and research infrastructure, hosted at the Services for sensitive data . The PhD fellow will work with large scale analytical tools to optimize our ability to use genetics
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. The DT serves as a virtual representation of physical assets, operational tasks, and resources, facilitating real-time monitoring, proactive maintenance, and optimization of offshore operations. Key
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of this sustainability-oriented project is to develop a better understanding of the fundamental fluid mechanics involved as droplets flow on and through fog nets, aiming to create new designs that optimize water yield
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important for renewable energy production and production variability will be an advantage. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and
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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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-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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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