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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena. Responsibilities and
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analyses. • Analyze and process microscopy data using specialized software • Train researchers and students in these techniques and advanced microscopy • Collaborate with team members on imaging needs
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inflammation, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree
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recognized lab working on different aspects of AI. Focus has previously been on visual data but has recently been expanded to cover also other data modalities including textual data. See more about the
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of publishing in key journals, conferences and workshops. has demonstrated the ability to perform and lead software development for image analysis and machine learning applications, also involving Big Data, using
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the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to
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needs Can perform complex tasks also in periods of intense activities Can assist with data entry and laboratory database maintenance Is collaborative and enjoys working in an international research
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robust models – and for clinicians, whose goal is to determine when to trust the models. We therefore seek candidates who have strong technical background in working with large-scale deep learning models
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possible thereafter. Information on the Department can be found at: https://ikv.ku.dk/ . Our research and teaching The Department of Veterinary Clinical Sciences covers strong and internationally recognized