11 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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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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- or challenge-based learning approaches Track record of conducting educational research and program evaluation Knowledge of assessment methods for complex competencies such as collaborative capacity and
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level, particularly using project-, problem- or challenge-based learning approaches Track record of conducting educational research and program evaluation Knowledge of assessment methods for complex
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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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and marine protected areas 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
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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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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