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Field
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The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included. Fully Funded PhD Research Studentship Project
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, statistical methods, or machine learning is considered a merit. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University´s rules and guidelines
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Qualifications Hold a PhD in educational or psychological measurements, statistics or a related field from an accredited institution. Have a minimum of one to three years’ of relevant experience. Preferred
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1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) in Data Science for Biomedical Imaging
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, Mathematics/Statistics or a closely related subject PhD nearing completion in Computer Science, Engineering, Mathematics/Statistics or a closely related subject In addition for Research Associate A PhD awarded
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Quantum Fields, Information, and Next-Generation Cosmological Probes This PhD project will investigate theoretical aspects of quantum field theory in cosmological spacetimes, with a particular focus
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psychometric data, with possible use of prediction modelling, mediation/moderation analyses, person-centred approaches, network analyses, or other advanced statistical methods depending on the final PhD focus
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of Clermont-Ferrand. This joint research unit (UMR) currently comprises 43 permanent researchers and a total of 102 staff members, including contract staff, PhD students and postdoctoral researchers. The LAPSCO
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. The focus of this PhD position is the development, characterization and experimental evaluation of advanced sensing hardware. Signal processing and Artificial Intelligence are applied as enabling technologies