53 bayesian-object-detection Postdoctoral research jobs at Technical University of Denmark
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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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@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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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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human health and dietary quality. DTU National Food Institute’s strategic objectives include enabling a sustainable transition of food production, preventing disease, and promoting health. Your research
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with different perspectives that is the foundation to find good solutions and solve real world problems. We hope that you wish to contribute to that. Responsibilities and qualifications The Postdoc
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of Denmark (DTU). The position focuses on the development of nanomaterial-based biosensors for ultra-early cancer detection, alongside the development of advanced nanoformulation-based cancer therapeutic
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methods to detect tiny magnetic fields are a top priority. In a Novo Nordisk Foundation sponsored project, we aim to create magnetic sensors with picotesla sensitivity and use these sensors to map neuron
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genes and mechanisms in DNA double-strand repair using automated equipment for high-throughput strain engineering, novel assays for detection and monitoring DNA repair, as well as the use of fluorescence
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modules that enable engineered T cells to detect intracellular cancer antigens, expanding CAR-T and similar technologies beyond surface targets. You will help develop new and optimise existing computational