10 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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for reducing pressures on species moving and migrating between conservation areas. The work will be based on existing GPS tracking and survey data on highly mobile and migratory species of seabirds, fish and
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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