14 bayesian-inference-tracking Postdoctoral positions at Aarhus University in Denmark
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carbon, nitrogen, and water flows in agroecosystems. A solid background in uncertainty quantification, applied statistics, Bayesian calibration, and Monte Carlo simulations. Strong skills in scientific
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inference. Both postdocs are expected to combine their respective methodological profiles with an active interest in computational tools. They will be part of a collaborative team including the PI and student
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inferred from necropsies; and breeding origin of the birds involved, determined through DNA-based assignment. Your main responsibility will be to make sense of the data, help understand the impact of
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or Python) for large-scale metabolomics and/or proteomics data analysis. Demonstrate a track record of publication(s) in international peer-reviewed journals (commensurate with career stage). As a person, you
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recommendation letters Deadline Applications must be received no later than 12 October 2026. Contact information For further information, please contact: Tenure Track Assistant Professor, Irene Julca, irene.julca
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management systems Strong track record of scientific publications Excellent communication skills in English (oral and written) Who we are The Section for Electrical Energy Technology focuses on energy system
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computer science, explainability is mainly evaluated through data-driven metrics. While they provide some insights for developers, it is unclear whether existing metrics track any ethically relevant properties
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organisations and institutions Furthermore, applicants who can document the following will have an advantage: a basic understanding of the Danish VET system a track record of research publications of a high
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modelling, or live neural imaging is desirable Experience working with neurons and knowledge in neurobiology is desirable Track record of international mobility is highly valued Publication record is
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using the COM-B model and Behaviour Change Wheel across three phases – baseline measurement, pre/post pilot assessment, and longitudinal tracking. Collaborating with technical partners (e.g. on digital