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highly motivated and independent candidate with strong analytical skills. The candidate should have a strong desire to develop novel computational methods and ML/AI tools to address challenging problems
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. Proficiency in at least one scientific programming language (e.g., Python, MATLAB, R, Julia). Demonstrated interest in biological applications, particularly immunology. Strong analytical and problem-solving
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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Description 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
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analytical modelling, to develop decision support for efficient planning and coordination of outfitting and logistics activities at yards, to study the interactions in such industrial systems and analyze
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knowledge of semiconductor technology and the physics of solar cells Hands-on experience in processing thin films and solar cells in the topic of perovskite technology Excellent analytical skills Excellent
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mechanistic studies of microbiome-mediated pathogenesis. This is achieved by bridging microbiology and big data analytics in a structured doctoral training environment. The need of microbiome research in
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fields. Experience with 3D printing and/or soft robotics is an advantage Familiarity with sensor integration and control systems Analytical thinking, problem-solving skills, and effective communication
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Group The Human Exposome research group, led by Dr Elliott J. Price and Dr Helge Hecht, investigates the profiling of chemical exposures and their links to population health. The group develops analytical
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microscopy. You are open to methodological training and guidance to conduct independent and critical quantitative research. You are curious, analytical and willing to explore complex issues thoroughly. You are