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Field
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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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or a closely related field, and you will have a background in crystallisation and solid state characterisation. Knowledge of databases, and python coding is a must. The key responsibilities
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to Earth Observation data. • Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth Engine. • Programming skills in Python or similar scientific computing environments
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or water-related systems. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset
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Python. • Knowledge of the Pytorch library for neural network development would be appreciated. Interpersonal skills: • Candidates must be able to work as part of a team with the various project
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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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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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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 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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of future research proposals. Skills, Experience & Qualifications Needed PhD in an appropriate subject area (awarded or submitted). Proficiency in Python for scientific computing, including basic scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 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