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Field
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infection and computational modeling . Preference will be given to candidates with research experience in the core areas of the group’s research; The candidate should have good programming skills (e.g. python
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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
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discipline. Working knowledge of Python. Knowledge of a computing environment (Mac or PC). Ability to work independently and in a team environment. Preferred Qualifications Experienced in working with and
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and statistical skills, with proficiency in R or Python Experience working with longitudinal data, infectious disease epidemiology, or high-dimensional datasets Demonstrated track record of peer
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Qualifications* Experience with mass spectrometry (especially DIA) and proteomics applications. Strong programming skills (Python, Java) with proficiency in a Linux environment. Experience with computational
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA), expertise in computational modeling (such as
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or related areas; demonstrated publications; strong computational skills (e.g., Python, MATLAB); and experience analyzing large datasets and communicating results effectively. PREFERRED : Experience with
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. Responsibilities Writing codes(C++, Python, MATLAB) and running simulations related to modeling complex disordered structures, troubleshooting, and refining codes. Working with the advisor in analyzing and
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to support computational analyses, interpret results, and produce publication-quality figures and written reports. Maintain and document lab software tools, HPC workflow scripts, Python packages, and
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databases and structured and unstructured data mining tools Knowledge of SAS, R, Python, and SQL, or data visualization software Knowledge of open/public/private databases HOW TO APPLY: Applicants should