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research interests, and three letters of reference, should be submitted through the application portal located at: https://indiana.peopleadmin.com/postings/31658 Review of applications will begin on January
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Group or Departmental Website: https://plevritislab.stanford.edu/ (link is external) https://ccsb.stanford.edu/ (link is external) How to Submit Application Materials: Go to: https
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. Proficiency in full-stack AI development - front-end and back-end (e.g., Python, React, Vue, Node.js, Typescript, API's, databases, Git/GitHub, CI/CD, AI Coding Assistants, Infrastructure as Code
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the remit of this role. Essential Application and interview Software development and script-based programming (e.g. Python, C++/C#) Essential Application and interview Further Information Grade 6 Salary
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particular simulation-based inference), strong programming skills in Python and experience with HPC environments. Experience with galaxy redshift surveys and/or gamma-ray astrophysics is desirable. We welcome
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), Cloud Computing (e.g., AWS), Networking (e.g., Cisco CCNA), Database Management (e.g., MySQL, Oracle), and Programming (e.g., Java, Python, cloud based development). Effective interpersonal skills
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, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell
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Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics. Job
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organizational skills o Time management Preferred Qualifications: • Experience with rodent handling • Programming experience (R, Python, or other data science languages) • At least a two-year commitment to the lab
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
components of the role. Our UNC group is an integral part of the Triangle Universities Nuclear Laboratory (TUNL) (https://www.tunl.duke.edu/), a Department of Energy Office of Nuclear Physics Center