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(USBE) is recruiting one to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We
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to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We are seeking one to two PhD students
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The overall aim of this PhD project is to understand the influence of climate-driven changes in vegetation cover and winter conditions on habitats and food webs of Arctic/alpine lakes. Climate change is
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Department of Aquatic Sciences and Assessment Third-cycle subject area Biology with specialisation in ecology Description of the doctoral project The overall aim of this PhD project is to understand
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chapter 5 § 7. Scope of employment 100 %.Starting date 2026-11-01 or as agreed. Placement: Uppsala Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala
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application! We are looking for a PhD student in Medical Science. Your work assignments We are looking for a PhD student to join Professor Henrik Green’s research group, focusing on studies of new psychoactive
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Southern Swedish Forest Research Centre Third-cycle subject area Forest management Description of the doctoral project Birch is becoming increasingly important in Swedish forestry as a complement to conifers and as part of climate-adapted forest diversification. Its wider use, however, requires...
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participation for all employees. The research group is now recruiting a full-time doctoral student (100%) with a start date of 1 October 2026 (or as agreed). Description of PhD Project The research focuses
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. This project aims to develop innovative ways to reuse this material in cement-based products, helping to reduce environmental impact and support more sustainable, resource-efficient mining. Duties As a PhD
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spatial and temporal variability in sediment accumulation and vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more