605 evolution-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United States
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on experimental techniques, data analysis, and project development. Contribute to grant writing, including assisting in the development of proposals and identifying funding opportunities. Participate in
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
interpolation (such as kriging), and other data visualization tools. The ARC Trace Gas Group is enriched by the many experiences and perspectives that each individual brings to our group. Development of secondary
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the development and progression of kidney disease. The laboratory of Dr. Sandeep Mallipattu in the Division of Nephrology, Department of Medicine at Stony Brook University School of Medicine is seeking highly
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Pre-Breeding program in the Grape Genetics Research Unit (GGRU) aimed at the development of grape germplasm. Recent advances in our understanding of the genetics of important traits of grapevine, along
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module development. ● Assist in proposal development, group outreach, and student mentoring. ● Contribute to the development of new training courses. ● Other duties as assigned. Special Notes
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design, advanced modeling and high-performance computing, mathematics and data analytics, AI/ML algorithm development, and accelerator operations Ability to model Argonne’s core values of impact, safety
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
development skills; and experience and deep understanding of the needs for interpretive transport validation exercises, such as profile fitting, interpretive power balance, uncertainty quantification, inversion
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, advanced computational techniques, and data science. The project involves: Materials Development Platform that will enable redox molecule optimization via predictive simulations, database management, and AI
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python