18 bayesian-object-tracking Postdoctoral positions at Technical University of Denmark
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Job Description Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it? At DTU Compute we are working towards building highly scalable Bayesian approximations
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for screening purposes and cell-based therapies. We will develop methods for modelling missing not at random (MNAR) observations and quantifying uncertainty using Bayesian methods and deep learning architectures
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work-related safety and health performance in heavy equipment operations compared to current best practices the general construction sector performs. Responsibilities and tasks The overall objective
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behaviour. Your primary responsibilities will include: Implementing technologies to track human behaviour in laboratory-based conversation studies Designing and conducting research studies with multiple
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current focus areas cover large-scale structure of the universe, physics of compact objects, exoplanets, upper atmosphere physics and cosmo-climatology as well as development of instrumentation, in
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technologies. Analyze and evaluate WGS data to support research and capacity-building objectives, including participation in external quality assessments and genomic proficiency tests. Providing bioinformatics
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for interdisciplinary collaboration Excellent communication and teamwork abilities Motivation to supervise and mentor students A track record in publication of high-quality research As a formal qualification, you must
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CFD workflows and Lagrangian particle/cell tracking to extracting actionable insights with statistical learning and AI/ML—ultimately enabling more robust scale‑up, smarter process control, and faster
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Job Description The Bioconversions group at DTU Chemical Engineering invites for applications for a position as a Post-Doctoral Researcher with a proven track record in the fields of anaerobic
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the University of Sheffield. Responsibilities Your main responsibility will be to implement a unique ultrafast spectroscopic method able to track the dissipation processes in quantum emitters induced by