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. The post, jointly supervised by Colin Kleanthous and Lindsay Baker in the Department of Biochemistry, is part of a Wellcome Trust Discovery Award involving groups in Oxford, University College London and the
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studies, blood neurofilament light chain (NfL) level has been established as an objective correlate of the individual rate of disability progression in ALS. EXPERTS-ALS is a randomised, open-label, multi
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labeling is required. Strong verbal and written communication skills are essential for contributing to the preparation of research proposals and manuscripts. The position will remain open until filled
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, along with any other relevant applicant material. Strong preference for C, C++, CUDA experience. Salary: $70,000 The salary of the finalist selected for this role will be set based on a variety of factors
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aging process (DNA methylation aging, entropy, multimorbidity) You will also be part of the multidisciplinary research group in Life-course Epidemiology with max 10% teaching duties to Master level
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The landscape of mRNA 5′ cap modifications is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling
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us. We have an HR Excellence in Research , a quality label, which is a recognition awarded by the European Commission for the development of researchers’ working conditions and careers. Our Buddy
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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | 2 months ago
days for Christmas. Flexible compensation (childcare voucher). Training capsules provided by the company. Be part of the excellent multidisciplinary research centre with the HRS4R label. Location
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++/Python/CUDA programming for deep learning. Demonstrated development of new deep learning methods for MRI. Experience in MRI image reconstruction; motion and distortion correction in MRI. Track record
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) ), and previous work on Dynamo for RNA velocity vector field learning and prediction using metabolic labeling enabled scRNA-seq: Qiu, Zhang, et al., Cell, 2022 (https://doi.org/10.1016/j.cell.2021.12.045