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this project, two PhD students will closely collaborate, one will be based at Imperial and one at TUM. Tasks for the PhD student at Imperial's Department of Mechanical Engineering, will include: Study the
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persist across participants, and retraining from scratch is often computationally infeasible at scale. In this project, you will develop the next generation of federated machine unlearning algorithms
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 8 days ago
combines experiments, quantum chemistry, and spectroscopy to study reaction mechanisms and to discover how solvation and catalyst design affect the rate and selectivity. Current projects focus on developing
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The PhD programme is a study programme which aims at training PhD Fellows, at an international level, to undertake research, development, knowledge dissemination and teaching assignments. The main
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an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research
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materials. Through the combined development of tailored bio-based electrolytes, the study of their performance with state-of-the-art electrode chemistries, and investigation of electrode-electrolyte
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
Sustainable Hydrogen Economy (IHE) develops the scientific foundations and technologies needed to store, transport, and use renewable hydrogen safely and efficiently. Within IHE, the division Catalytic
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having accurate and well-informed reconstructions of the ecologies of ancient animals. This is key to our understanding of the broad-scale development of life on Earth and global ecosystems. Arthropods
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-linguistic dimensions of development, and the extent to which study-abroad experiences transfer to participants' subsequent academic, professional, and personal lives. LINC will collect and analyse a rich
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this project, you will develop new image analysis methodologies for less invasive and non-invasive quantitative brain PET studies using LAFOV PET/CT. You will work on model-independent kinetic analysis methods