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, the candidate must have experience working with various biological specimens, including either viruses or bacteria. The candidate is expected to have training in cell handling and in working with genetically
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: To establish technologies for the measurement and modulation of nuclear NAD levels and turnover using pharmacological and genetic approaches. This will include LC-MS quantification To develop and
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of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied
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Background in probabilistic methods Experience with the application of AI algorithms and probabilistic methods Good programming skills Personal characteristics To complete a doctoral degree (PhD), it is
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detection and classification algorithms using measured and/or simulated data, such as current pulses from cable faults (breakdown), partial discharges and external noise. In addition to being part of
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duties after employment. Required selection criteria You must have an relevant background in ecology, evolutionary biology, quantitative genetics or mathematical statistics. Capability to learn and apply
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University’s residency requirements. Galice Guillaume Hoarau via Unsplash Galice Guillaume Hoarau Qualification requirements MSc degree or equivalent in a relevant discipline such as genetics, epigenetics
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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archaeology, and material culture from a long-term perspective. The Department of Natural History conducts research in systematics and taxonomy, evolutionary genomics, phylogeography, population genetics, and
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and antibiotic resistance. The Doctoral Candidate will study how bacteria respond genetically and phenotypically to antineoplastic drugs, identifying patterns of cross-resistance and sensitivity between