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, or a closely related field. Preferred: Prior experience with cell culture and tumor models in cancer research. Demonstrated success in securing external funding or contributing substantially to grant
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description The successful applicant will have to: commit to completing their PhD thesis within the period of employment (3 years). complete the coursework component of the PHESTET programme, consisting of in
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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researcher? Do you want to be trained in cutting-edge experimental and computational techniques to understand how clot contraction influences thrombus stability and embolism risk? Are you excited to be part of
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Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human
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submit alternative documentation of your enrollment and progress in the degree program, as well as a written statement that you are unable to provide an official transcript of grades. Dissertation Abstract
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demonstratable understanding of relevant Health & Safety issues Excellent communication skills, both oral and written, with the ability to present to internal and external stakeholders Attributes and Behaviour
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training costs and energy requirements of state-of-the-art deep learning models significantly, while...
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational