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Applied Data Scientist – Health and AI (Trusted Research Environment) Research Track Job Purpose To provide advanced analytical, epidemiological, and data-science support for research projects using
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utility while rigorously mitigating risks of re-identification and privacy leakage. The work from the PhD fellow will contribute to enabling public trust using synthetic data and should support case studies
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duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment ) for further information. Qualification requirements PhD stipends are allocated to individuals who
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Mining in Business, Ethical Issues on Business Analytics, Operations Research, Optimization Methods. Job Requirement Candidates should have a PhD degree in a related discipline, preferably in areas related
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across analytical chemistry, forensic science, toxicology and related areas Has prior experience of teaching UG and PG student as well as supervision of research students up to PhD level. All candidates
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affiliation with ERIM or Tinbergen Institute depending on personal preference and the specific research topic. Where to apply Website https://www.academictransfer.com/en/jobs/357350/phd-strategy-economics/apply
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dataset construction. Applicants will: hold a PhD in a relevant discipline such as epidemiology, medical statistics, public health, data science, or similar, or equivalent qualifications; have extensive
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research in some part of analytic number theory, automorphic forms and/or representation theory, building on recent advances in these subjects. Qualifications Applicants should hold a PhD degree in
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to answer different kinds of questions. This PhD position focuses on understanding, interpreting, parsing and formalising geo-analytical questions. You will explore hybrid (symbolic and sub-symbolic) AI
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theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management, econometrics, machine learning, extensive data analytics and qualitative