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have detailed expertise in analytical and spectroscopic tools, namely NMR, XRD, IR, UV-Vis, MS and very good language skills in English and/or German. Please send your application (motivation letter, CV
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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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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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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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environment Soft Skills: Strong analytical thinking, problem-solving skills, and the ability to work creatively and collaboratively We Offer: A diverse and engaging role in a collaborative and supportive
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project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab
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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