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Field
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various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore, individual predictions of relevant patient outcomes based
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metabolic assays and imaging techniques such as echocardiography or tracer-based studies. Analytical and detail-oriented. You can work with quantitative data and statistical tools (e.g. R, Python, GraphPad
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Mechanical Engineering, Electrical Engineering, Physics, or Energy Science, and a strong analytical background in mathematics and physics. You bring experience and knowledge in the following areas: modelling
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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evolving systems of evaluation influence recognition, diffusion, and legitimacy. The focus is on advancing theory through conceptual reasoning, analytical approaches, and engagement with novel forms of data
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projects and current collaborations with companies in this domain on the expert practice page of the Erasmus Center for Data Analytics directed by Prof. Dr. Lemmens: https://ecda.eur.nl/expert-practices
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” (https://vr4evr.nl ), a collaboration of four universities and a rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and
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research revolves around the following key objectives: Finding analytic expressions for families of numerical Hamiltonians that model magnetic topological semimetals. Classifying such Hamiltonians in terms
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foundation models, and the complex operational challenges faced by traffic operators, municipalities, and mobility service providers. This includes the integration of symbolic reasoning, predictive analytics
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background in medicine, healthcare (operations) management, health policy and data analytics. Where to apply Website https://www.academictransfer.com/en/jobs/355086/phds-data-driven-insights