464 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"U.S" Postdoctoral positions in United States
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Field
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and research, and create programming that fosters dialogue around AI’s role in shaping the future. Postdoctoral Scholars will serve as the Initiative’s AI specialists, helping to shape the College’s
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Research Associate/Post-Doctoral Fellow - Institute for Research on the African Diaspora in the Amer
point for advanced teaching and research at the City University of New York (CUNY), the nation's largest urban public university. With over 35 doctoral and master's programs of the highest caliber
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and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator. PREQUALIFICATIONS
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genetics. Proficiency in one or more programming languages (e.g. R, python), common analytic tools for genetic research (e.g. PLINK, SAIGE, imputation, etc.), and a Unix-based computing environment is
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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Apply now Job no:535377 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Foreign Languages/Linguistics, Research/Scientific/Grants Department: CAS Linguistics Rank: Research Assistant
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The Position Program Start Date: January - December 2026 (can be flexible within this time frame) Location: South San Francisco Length of Assignment: up to 4 years Education Level: Recent graduates
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: Doctorate in Oceanography, Meteorology, Statistics, or similar field. Required Knowledge, Skills & Abilities: Fluent in one or more programming languages (python, Julia, or possibly R) Able to perform
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Development Plan (IDP) in collaboration with faculty mentor 4. Generates revenue by securing grants and participates in departmental and institutional career development programs, such as grant writing
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methods, as well as evidence synthesis, including coursework and research experience. 3. Programming experience using clinical research datasets (e.g., R, SAS, STATA). 4. Strong written and oral communication