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, and other staff engaged in education and research in economic history, business administration, business law, informatics, economics, and statistics. The School of Economics and Management at Lund
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. Qualifications Applicants should: (a) have a PhD degree in Ecology, Meteorology and Climatology, Sustainability, Natural Resources, Agricultural or Forestry Engineering, Geography, Geoscience, Environmental
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duties listed above. Qualification requirements Applicants must have: A PhD or equivalent research qualification in physical geography, environmental sciences, or forest ecology Previous research
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 3 days ago
Stage Researcher (R1) Positions PhD Positions Application Deadline 17 May 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the
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, reproducibility and clinical impact of SMARTs. Existing resources tend to present methods at a high level and are not tailored to the practical needs of applied trial statisticians. This aim of this PhD will be
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19 Mar 2026 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Positions PhD
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University College Dublin (UCD) invites applications from both home and international students for PhD Scholarship in the Banking and Finance Department within the UCD College of Business. The
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life science doctoral student in Data-driven epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life
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scope to adapt some elements of the PhD to their interests. There will also be opportunities to join related project teams in long-term conditions. The PhD is funded through The Lupus Trust. Training
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets