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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
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Karttunen, and Prof. Kari Laasonen, who will supervise the postdoc positions advertised here. We are seeking candidates with expertise in one or more of these areas: Machine-learning interatomic potentials
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, bioinformatics, statistics, machine learning, computer science, mathematics, or a related discipline. have demonstrate experience in Python programming and high-performance computing, together with experience in
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computational biology, biochemistry, structural biology, bioinformatics, statistics, machine learning, computer science, mathematics, or a related discipline. have demonstrate experience in Python programming and
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Inclusion shape how we lead, learn, and work. We are committed to building an inclusive and respectful environment, removing barriers and addressing inequalities so that everyone in our community can belong
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VwGr. B1 lit. b (postdoc) Reference no.: 5851 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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-omics machine learning and AI model using liquid biopsy next generation sequencing data for early cancer detection. About You Must have a strong background in the field of cell-free DNA. Including
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to learn and work independently and as part of a larger team working on the transition to the circular economy. What we offer At the University of Oxford your happiness and wellbeing at work is important to
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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expertise and initiative through international publications in peer-reviewed journals Experience in research management Didactic skills and experience in e-learning Good IT skills Excellent knowledge