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Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications The candidate must hold a PhD in organic chemistry or medicinal chemistry. Experience at the interface between both molecular
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Chair of the Scientific and Technical Advisory Panel (STAP) to the Global Environment Facility (GEF)
scientific capacity, capability and science-policy interfaces by enhancing processes for generating, synthesizing, and applying robust, interdisciplinary evidence to drive effective action for environmental
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28th February 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Secure and Trustworthy Data Sharing for Maritime AI Model
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delivering the IL‑DARPA Quantum Proving Ground, including: Interfacing with DARPA program managers and technical teams. Leading facility design reviews, performance assessments, and milestone planning
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scale. The research team You will perform your PhD research in a multidisciplinary research team. The Electrocatalytic Synthesis and Electrochemical Interfaces (ESEI) is a vibrant research group focused
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at https://www.sd.polyu.edu.hk/en/ for more information about the School. The Design discipline at the School takes a sustainable and humanistic approach which aims to expand the scope of traditional design
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):e202105146. APPLY HERE: https://www.img.cas.cz/phd Where to apply Website https://www.img.cas.cz/phd Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteInstitute
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Scheduled Hours 40 Position Summary The Cremins lab works at the spatial biology-technology interface to understand chromatin-to-synapse communication during neural circuit activation in
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://www.academictransfer.com/en/jobs/357557/phd-position-cryo-cmos-readout-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/357557/ Work Location(s) Number of offers
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for the developed digital models. Develop interfaces to provide feedback from the digital twin to the physical turbine. Enhance the prediction efficiency by incorporating solutions from surrogate models. Expected