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to computational models. The group has a leading role in European within the fields of unconventional computing, our Comet initiative , and Computer Architecture, our CAL initiative . The position will be part of
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-performance computing and big data analytics PhD must have been received within the last three years. Preferred Qualifications: Demonstrated understanding of model validation, clinical trial design, and causal
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Established Researcher (R3) Positions Other Positions Application Deadline 15 Sep 2026 - 23:59 (Europe/Tallinn) Country Estonia Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting
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audiences. QUALIFICATIONS Required: Doctoral degree (PhD) in Epidemiology, Environmental Health, Biostatistics, Child Development, Public Health, or a closely related discipline Demonstrated expertise in
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/Anders Lien 9th September 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive Neuroscience Apply for this job See advertisement About the position Position as PhD
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. These demonstrators will have strong potential for high-profile publications, commercialisation, and/or dissemination as open-source designs. The ideal candidate might be from an academic (e.g. PhD/Postdoc in a related
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of a team (within the University or externally); maintain quality, standards and excellence in research activities and output; contribute to a positive workplace culture in which diversity of thought
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model; (iii) database preparation; (iv) empirical analysis, including econometric estimation, structural model calibration, and simulations; and (v) preparation of the study manuscript in co-authorship
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) Posting End Date July 24, 2026 Note: Applications will be accepted until 11:59 PM on the Posting End Date. This position is subject to the satisfactory completion of required background checks Job End Date
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and Expenditure Surveys Advanced quantitative analytical capabilities potentially including statistical modelling, econometric analysis, database design and management, and proficiency with analytical