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materials in fisheries and aquaculture. The postdoctoral research fellow will work with fishing gear research related to research area 3 (development, testing, validation, and optimization of biodegradable
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. Proficiency in at least one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming
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fisheries and aquaculture. The postdoctoral research fellow will work with fishing gear research related to research area 3 (development, testing, validation, and optimization of biodegradable gear
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Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting
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storage in depleted petroleum fields: In this project, you will investigate and aim to optimize CO2-assisted oil production (CO2EOR) and subsequent CO2 storage. Simplistic models for a fundamental
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, detecting pesticides and pathogens in agricultural production. In this part of the research, the goal is to optimize local CNT growth conditions at low temperature using different catalyst materials, while
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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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Council of Norway called "Early life programming and conditioning in recirculating aquaculture systems (RAS) for safeguarding Atlantic salmon health and welfare (RASExpo)" in which we aim to optimize RAS
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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by which peptides evolve new functions, including evolutionarily "optimized" structure-activity relationships that can be harnessed for therapeutics development. This project is funded by the Research