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on the development of statistical modelling approaches to support efficient resource use and strategic planning. The doctoral student will have an individual study plan in the subject of systems engineering. As part
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experience level at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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Business Analytics (Ref: FBM241104) Job Description Candidates with teaching interest and key research strength in the following areas: Essential: Programming for Business Applications, Database Management
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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD candidate: ML-based prediction of flood types based on atmospheric and catchment attributes Are you
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Statistics for Data Science and the Master in Big Data Analytics, and in a PhD program. A large share of courses are taught in English. The Department supports the research of new faculty members with funding
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
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psychology, neuroscience, biostatistics, bioinformatics, genetics, or another related field - Strong quantitative and statistical background and related software and programming language proficiency (e.g., R