23 parallel-processing PhD scholarships at Center for Biological Research "Margarita Salas" CSIC
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10 Oct 2025 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Chemical engineering Engineering » Process engineering Environmental science » Water science Researcher
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develop valuable transferable and soft skills, such as management, leadership and communication. Please visit STEM-CORE | Radboud University STEM-CORE selection procedure MSCA mobility rules: the recruited
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Infrastructure? No Offer Description PhD position – summary For the EU- funded ERC CoG 2023 project entitled “Thermal Modulators based on novel 2D MXene materials for nearly isothermal battery operation” (project
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₂ electrodes at LAAS, tailored for operation with ionic liquids, - evaluate on these electrodes innovative electrolytes developed by PolyMAT (stability, potential window, capacitance, cyclability), - perform, in
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. The applicant is expected to apply for their own fellowship, and will be fully supported during the process Access to state-of-the-art infrastructure and core facilities in a vibrant, world-class
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, magnetic, electrical, and mechanical functionalities, through processes that promote decarbonization compared to traditional methods. Doping with nanoparticles will be explored to incorporate advanced
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 21 days ago
approaches to Rota, i.e LiDAR processing and ground-truthing, and check the capabilities of predictive models for new archaeological sites in tropical environments. In addition to field work in the Pacific
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process Candidates will be evaluated internally. The outcome of the selection process will be announced by email during the first week of October. Additional comments If you are interested in the position
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Institute of the Spanish National Research Council (CSIC) and Pompeu Fabra University (UPF), located in Barcelona. IBE’s research is focused on the processes and mechanisms that generate biodiversity and on
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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition