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high proficiency in R and/or other computer programming languages. Applicants in All But Degree Status will be considered for interviews. Preferred Qualifications Experience with computational
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offers B.S., M.S. and Ph.D. in Mechanical Engineering degrees. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with
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, preprints, or thesis work. ● Proficiency in a scientific computing language (Python, MATLAB, Mathematica, Julia, R or C/C++). Preferred Qualifications: ● Prior experience with the Chemical Master
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Website: https://sites.chemistry.unt.edu/~sqma/. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or
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others, developing tools to support the creation of the data, and supporting the Math+AI laboratory. We are particularly interested in candidates with experience in Lean or other proof assistant languages
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AI, …) and relevant programming frameworks Advanced programming skills in relevant programming languages and contexts (e.g., Python, HPC/GPU programming, big data applications) Strong team spirit and
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relevant programming frameworks Advanced programming skills in relevant programming languages and contexts (e.g., Python, HPC/GPU programming, big data applications) Strong team spirit and experience in
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programming ability in scripting and system languages. Experience working with large language models, either locally or via API is desirable. Experience working with large relational databases is also desirable
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 14 hours ago
, innovation and community engaged outreach. It also works collaboratively with the Nanoengineering Department to achieve an integrated foundational research program in emerging high impact areas. Scientists in
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techniques, we will discover, characterize, reconcile, enrich and connect the datasets with the subjects, people, institutions, places, research projects, and funding programs in order to facilitate both graph