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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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the application of rock physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or
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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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-tracking of spatial use, monitoring of breeding effort and success, social behaviour and foraging activities, e-DNA analysis of guano and water samples, ecophysiological markers for health condition and
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postdoctoral researcher, you will investigate how contextual factors affect children’s executive function engagement, using neuroscientific methods such as eye-tracking, pupillometry, and EEG. The project has
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an advantage: applied microeconometrics and causal inference; machine learning and data science. Experience with one or more of the following computing skills will be considered an advantage: Natural
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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