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Field
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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mechanisms that regulate dopaminergic neuron vulnerability in ageing and Parkinson’s disease, integrating human stem cell–derived neuronal models, in vivo studies and translational human tissue analysis
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/splicing, as well as the development of enhancer activity lineage-tracing approaches in stem cell and/or mouse models. We are particularly interested in candidates with expertise in transcriptional
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techniques (e.g. CRISPR) on primary brain cells and/or iPSCs. The ideal candidate will also have experience running various bioanalysis assays including ELISA or MSD-based systems. About Sanofi: Werean R&D
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card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements
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: • Responsibilities include data analysis, development of software tools, and preparation of manuscripts. • Other duties as assigned. Qualifications Required: • PhD in a STEM-related field • Strong quantitative and
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plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a collaborative project. For further information, please contact Professor Stephanie Ma at stefma
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
, graduate students, and recent graduates to learn about policy analysis projects across various focus areas. These areas include Domestic Energy Policy, Power Sector, Critical Minerals and Materials
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Colourbox via Unsplash Colourbox Qualifications Applicants must hold a degree equivalent to a Norwegian doctoral degree in molecular biology, cancer biology, genomics, stem cell biology, or a related
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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make