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to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to
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, Machine Learning, AI, and related areas including Optimization, Mathematics and Physics are welcome to apply. The candidate is expected to conduct independent research and should have strong analytical
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As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial
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UKHSA surveillance datasets to see if OTC sales can be used to monitor GI infection activity and better predict outbreaks. The PhD offers the unique opportunity to develop skills in analytical
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machine learning frameworks like PyTorch. The candidate should demonstrate strong analytical abilities, an eagerness to learn and solve complex problems, and possess effective collaboration skills
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to go to the field (poultry farms and slaughterhouses) to collect samples. You are highly motivated, curious, and have strong analytical and problem-solving skills. You are not afraid to ask questions and
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Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally
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. Comparison with known analytic methods and established Markov models will be made wherever possible. Expected outcomes include a unified non-Markovian framework for time series analysis, a suite of relevant
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strategies, and real-time analytical capabilities for diverse applications, including biosensing and energy storage. Position Requirements Required Qualifications M.Sc. degree in Electrochemistry, Chemistry
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Analytical chemistry o Wearable sensors (Attach publications or master's thesis related to these topics.) - Fluent English proficiency (B2/C1 level or higher). General Skills We are looking for candidates who