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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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. We believe that cooperation and collegiality are essential elements for research successes. You can find more information about the team and our work here . The project You will join the Lund Group
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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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-facing messaging aligned with EQA’s objectives. Cross-team coordination and operational leadership Acting as a bridge between scientific content, project operations, and consortium dynamics. Supporting
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@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
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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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and/or nanofabrication being a plus. Who we are The Department of Physics and Astronomy is a department on Natural Sciences. The main objectives of the Department are to carry out research
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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
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entities, such as robots, vehicles, or sensors, forms internal representations of space, time, and motion when interacting in complex non-stationary environments. The objective is to study and develop models
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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will