1,008 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions in United States
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need
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Apply Now How to Apply Upload a resume/CV, cover letter, and contact information for two referees (combined into a single PDF) via the U-M applicant system. Questions about the position should be directed to Erica Twardzik at etwardzi@umich.edu . Job Summary Are you passionate about creating...
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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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old by time of application. Those already in graduate school may apply for fellowship support to continue that study, provided you have not yet begun your third year of your graduate program by
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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journals, A&A, MNRAS, or similar); commit to writing or contributing to the quarterly general public education articles that explain the project deliverables in layman terms; be proficient in computational
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Preferred Experience, Skills, Training/Education: 1. Ph.D. in Industrial Engineering, Biomedical Engineering, Data Science, Computer Science, or related fields. 2. The candidate is expected to have a strong
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling