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the optimally energy efficient switching regime, avoiding the localised heating that plagues current energy assisted data storage schemes. We will explore experimentally and theoretically manipulation of magnetic
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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail Mohamed.JEBAHI@ensam.eu Requirements
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doctoral research, supported by rigorous scientific supervision. The team hosting the PhD candidate is internationally recognized for its expertise in materials science and process engineering, particularly
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in Baltics, as part of the Electrochemical Energy Conversion Lab within the Department of Chemical Engineering and Technologies. Where to apply Website https://www.ftmc.lt/phd-admission-and-2026
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will be
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of the newly discovered enantioselective reactions for the synthesis of medicinally relevant compounds. In this context, recently we have optimized the enantioselective heterodimerization of 1,3-dienes and
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project related reports Finalize the PhD thesis at ETH Where to apply Website https://apply.refline.ch/673278/3861/ERZok1sHWtDWwnEVT-NsRT6cc6oIyFNXCgTsOHYlKz… Requirements Research FieldPhysicsEducation
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to apply Website https://www.academictransfer.com/en/jobs/359469/postdoc-in-reinforcement-learni… Requirements Specific Requirements a PhD in mathematics, operations research or computer science a strong
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days ago
Infrastructure? No Offer Description Applications are open for 1 Post-Doctoral Research Fellowship, within the framework of project/R&D institution (Advances in Spectral and Shape Optimization/Center
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation