9 bayesian-inference-tracking Fellowship positions at UiT The Arctic University of Norway
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of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center
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of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center
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.) and to infer which genome-encoded functions are actively expressed under different biofloc maintenance and aquaculture practices, enabling data-driven strategies to steer floc composition. Expected
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including, high resolution 3D and 2D seismic, sub-bottom profiler, regional 2D seismic and petrophysical logs; infer complex Earth system process understanding, including changes in current patterns, glacial
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of past warm periods in diverse geophysical datasets including, high resolution 3D and 2D seismic, sub-bottom profiler, regional 2D seismic and petrophysical logs; infer complex Earth system process
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vision statement for the position’s research activities (max 2 pages) Description of your academic track record highlighting the three works you consider most relevant to the advertised position (max 1
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to the position’s field of research, and a vision statement for the position’s research activities (max 2 pages) Description of your academic track record highlighting the three works you consider most relevant
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vision statement for the position’s research activities (max 2 pages) Description of your academic track record highlighting the three works you consider most relevant to the advertised position (max 1
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and use a variety of research methods, including offline behavioral experiments, eye-tracking, electroencephalography (EEG), and Magnetic Resonance Imaging (MRI). The research will be of practical