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data and data integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal
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also interested in environmental data, AI-powered analytics, applied mathematics and physics? Then this job is for you! The goal is to complete a doctoral education while working on a collaborative
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environmental and societal sustainability. The position is linked to Work Package 4: Digital twin asset management. The successful applicant will work at NTNU in Trondheim. The Department of Mathematical Sciences
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selection criteria You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or other relevant disciplines. Your course of study must correspond to a five-year
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You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or other relevant disciplines. Your course of study must correspond to a five-year Norwegian
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or environmental engineering, Mathematics (Operations research) or Computer Science or Machine Learning). Documented knowledge of relevant methodologies, both quantitative and/or qualitative, at master’s level
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, railway engineering, transport engineering, computer science, data science, statistics, mathematical sciences, industrial economics, operations research, or another relevant Master's degree in a closely
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will be cross-linked on the aiD website aid-center.no The successful applicant will work at NTNU in Trondheim. The Department of Mathematical Sciences, NTNU, will host the PhD position. The topic
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, statistics, mathematical sciences, industrial economics, operations research, or another relevant Master's degree in a closely related field Master students can apply, but the master's degree must be obtained