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qualifications For this position we are looking for someone who have completed a degree at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits of which
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you have graduated at Master’s level in Natural Sciences or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in Mathematics or Statistics. Alternatively
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you have graduated at Master’s level in Natural Sciences or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in Mathematics or Statistics. Alternatively
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We are looking for a researcher to the department of Aquatic resources, SLU Aqua, Institute of coastal research. You will contribute to our work to develop advice for the sustainable use of coastal and marine ecosystems, more specifically to developing integrated ecosystem analyses as a basis...
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requirement. A very good command of the English language, both written and spoken, is a key requirement. Experience in Federated Learning, Computer Vision, Image Analysis, Mathematics, and Mathematical
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. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits, at least 60 of which must be in advanced
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collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote
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formalization and mathematical reasoning on the one hand, and implementation for the purpose of experiments and demonstration on the other hand. Admission requirements The general admission requirements
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, Electrical Engineering, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively
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English. The PhD must have involved numerical modelling. It is desirable to have documented knowledge from their university education in: Mathematics, especially differential equations. Numerical methods