26 bayesian-network "https:" 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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, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial
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quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between senior staff, PostDocs and PhD/Master students
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. Further information Further information may be obtained from Prof. Ivan Mijakovic: ivmi@biosustain.dtu.dk You can read more about the hiring department at https://www.biosustain.dtu.dk/ If you are
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build strong networks with internationally known researchers at DTU and other universities as well. Your overall focus will be to strengthen the department’s competencies within sea level and marine
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network of universities, research centers, and innovative companies, and you will be in contact with all the most relevant stakeholders in the water sector. Responsibilities and qualifications While
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for Mathematics here and about the Algebra group at DTU and the corresponding research at the Algebra group webpage https://algebra.compute.dtu.dk/ . If you are applying from abroad, you may find useful
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Studies, ‘the good economy’, and/or the sociology of expertise. The project seeks to unpack how the energy transition is being not only devised, but also ‘deviced’ as ‘good’ in particular ways by networks
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-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and
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-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and