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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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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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for public policy, and the relationship between business and democracy. We have a large group of faculty committed to examining the role of money in politics and non-market strategy. Faculty apply advanced
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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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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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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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: Algorithms for the analysis of orthomosaics with the purpose of locating unwanted / weed plants Software for automating processing of large data sets (quality control, orthomosaic generation, and analysis
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-reads) for microbial ecology studies and finally, you have capacity for handling large amounts of data and their suitable storage and dissemination according to FAIR principles. Position 2: Postdoc in
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solid background in analytical chemistry, spectroscopy, medical devices, sensors, bioanalysis, and if possible large data analysis. You are highly independent, self-motivated and enjoy collaboration in a