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Methodologies: o Design detection and dosimetry systems tailored to the specific needs of the phosphate industry. o Innovate analytical methodologies to identify optimization opportunities. 4. Training
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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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. 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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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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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
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. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children
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Economics, to develop next-generation analytic tools that will illuminate the lived experience and care pathways of people with Lewy Body dementia (LBD). Each studentship is fully funded (stipend €25,000 p.a
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neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection. Comparison with known analytic methods and
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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