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ones for different stakeholder groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department of Human
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groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department of Human Geography and Spatial Planning
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PhD: Spatial Optimization of Land Use in Brazil Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 13
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19th October 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Risk-Based Power System Operation and Utilisation of Transformer Capacity
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21 Sep 2026 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD
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with multiple electrodes – multipolar catheters – are increasingly used to facilitate electroanatomic mapping of the atria before ablation. Despite advances in ablation technology, the search for optimal
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
, their use in high-speed manipulation remains largely unexplored. This PhD project aims to develop robotic solutions that exploit compliant and flexible robots for rapid manipulation tasks, with experimental
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The Section for Structures and Safety at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate three years
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are proud of our research endeavors, which aim at providing healthcare that is more accessible, less invasive, at a lower cost, and with optimal outcomes. We are ranked in the top 10 of NIH-funded academic
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic