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/Python/LabVIEW for data analysis and software experimental control. Also required are strong written and oral communications skills, interpersonal skills for collaborative science and mentorship, problem
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proficiency in R, Python, or MATLAB. Familiarity with stem cell culture or GPCR biology is beneficial. Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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analysis Experience using R or Python Pay and Benefits Pay Range: $62,232 - $75,564; depending on education/qualifications/experience and following the NIH stipend level Please visit the Benefits
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 days ago
biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA), expertise in computational modeling (such as Molecular Dynamics, virtual screening, free energy calculations and
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, engineering, computational science, a physical science (materials science, chemistry, physics etc.), or related field. Hands-on experience with AI frameworks and employing large language models. Strong Python
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Experience Applicants must have experience writing and modifying scientific code, performing data analysis or simulation workflows, and proficiency in at least one programming language such as Python, C, C
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Education, STEM Education, Statistics, or a closely related field. Experience conducting quantitative analysis using statistical software such as R or Python. Experience conducting educational, social science
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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest