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or above. Fluent oral and written communication skills in English. Programming skills in R, Python, or similar are essential. Previous experience with meta-analysis is desirable but not essential. Previous
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for optimally deploying wind-sail propulsion according to weather conditions The project will develop, prototype, and evaluate visual and interaction concepts that make AI advice actionable
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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically
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for optimally deploying wind-sail propulsion according to weather conditions The project will develop, prototype, and evaluate visual and interaction concepts that make AI advice actionable
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wildlife ecotoxicology and pollutant analysis. The researcher will carry out investigations into accumulation of per- and polyfluoroalkyl substances in seabird species, and investigate effect biomarkers, e.g
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. Experience with laboratory experiments (batch incubations, microcosms, or similar). Knowledge of chemical analysis techniques, such as ICP-OES or ICP-MS, ion chromatography, and nutrient analysis. Experience
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involve the synthesis, characterization, and analysis of a new material system combining the concepts of antiferromagnetism and spin polarization electron bands. Our goal is to experimentally realize such a
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broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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in combination in aquatic organisms. Performing speciation and bioavailability studies in combination with in situ fractionation techniques to characterize exposure. Carry out chemical analysis