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and modulation of nuclear NAD levels and turnover using pharmacological and genetic approaches. This will include LC-MS quantification To develop and implement techniques to determine nuclear NAD
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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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pregnancy using genetic epidemiology. The project will be performed at the Center for Diabetes Research (uib.no/en/diabetes ) located at the Children and Youth Hospital in Bergen, Norway. The candidate will
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study with detailed information on approximately hundred thousand pregnancies (fhi.no/en/ch/studies/moba ). The candidate will study symptoms in early pregnancy using genetic epidemiology. The project
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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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based on genetically improved PET-hydrolase-enzymes. We recently identified two new PET-hydrolases produced by microbes discovered in Norway. The PhD project will entail producing enzymes from the gene
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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