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electronic platform, under “My application”. When formalizing the application, if a classified document is submitted that reveals commercial or industrial secrets, or secrets relating to literary, artistic
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September 31 2025 ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg
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collection, tail-vein and other injections, and surgical procedures. Responsible for performing research work semi-independently with guidance from the mentor after the initial training (no formal training
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working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both. As formal qualification you must hold a PhD degree (or
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complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
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), account for >20% of all people with dementia (at least 1,600,000 in Europe), are significantly under-recognised or mis-diagnosed, with < 5% receiving a formal diagnosis. In most regions, services for LBD
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your interest in one of the projects. If they are happy with your background and suitability they will encourage you to submit a formal expression of interest. 3. Submit an expression of interest Once
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PhD Studentship: Dissecting the Molecular Architecture and Function of LMTK3 as a Therapeutic Target
to: Informal enquiries about the project can be made to Georgios Giamas g.giamas@sussex.ac.uk and Erika Mancini Erika.mancini@sussex.ac.uk How to apply: Please submit a formal application using the online
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questions about the recruitment process, please contact HR Coordinator Mette Fisker Præstegaard, Email: mfp@au.dk Place of work Department of Political Science, Bartholins Allé 7, 8000 Aarhus Formal
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems