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. The candidate should have a strong background in iPSC modelling and the use of CRISPR tools and an interest in neurodegenerative diseases. Essential: You obtained a PhD in life sciences, engineering, or
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Services professionals/students in the lab. Assist in maintaining lab equipment and laboratory maintenance. · Mentorship 10% Teach/supervise students and/or research assistants. Work Location: Onsite
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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experience in scientific programming is a plus. • Experience in constructing Machine Learning potentials would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5254
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, who can help us in our pursuits. Learn more about us by visiting our website at https://www.arch.tamu.edu/cosc/about/ Why Texas A&M University? We are a prestigious university with strong traditions
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Polytechnique de Paris. The group conducts research at the intersection of statistical learning, machine learning, and data science, with a strong focus on structured data, representation learning, and
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to conduct his/her research independently (proficient in all immunology and virology experiments and writing papers). Minimum Education and/or Work Experience M.D. or PhD Required Qualifications Ph.D
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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more complete picture of how processing speed is related to health outcomes. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and