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) Positions PhD Positions Application Deadline 11 Feb 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 2 Mar 2026 Is the job
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 days ago
Intelligence Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Jan 2026 - 12:00 (Europe/Warsaw) Country Poland Type
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13 Jan 2026 Job Information Organisation/Company Univerzita Palackého v Olomouci Research Field Biological sciences » Botany Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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the fine modeling of lithium-ion and sodium-ion batteries. The team contributing to HIPOBAT includes the present position, a PhD student, another researcher, a research engineer and an associate professor
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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to welcoming committed colleagues who will work with us to develop solutions. Your Profile: The prerequisite for this scientific leadership position is an above-average PhD in energy system modeling, material
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supervising one undergraduate student Required Minimum Qualifications: PhD in Plant Pathology or Plant Biology Preferred Qualifications: Experience with plant molecular biology, virus-induced gene editing in
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your application! We are looking for a PhD student in Medical Science with specialization in Eye Diseases. Your work assignments Your work will focus on research into a rare corneal disease called limbal
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governance is organised around various research environments. Further information is available here: https://www.cbs.dk/en/research/department-management-society-and-commun… . The central objective of the PhD
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and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient