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skills, incl. bioinformatics, and experience with large-scale datasets. Experience in processing next-generation sequencing data of non-model vertebrate organisms, including application of this data
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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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integrated “Big Data” analyses of molecular/omics data and e.g. epidemiological data from national registers. Setting up collaboration with clinicians and start biobanking of samples from renal cancer patients
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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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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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: 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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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof
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large European, Danish and American grants including, “Recursive and Exact New Quantum Theory” (ERC-Synergy), “New Structures in Low-Dimensional Topology” (Simons Collaboration) & “Topological Photonic