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(CFD) simulations. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html. This role offers
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, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required. Applicants who have experience in the study of children (especially
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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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implications of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and
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or models) experience with computing languages such as python, R or MATLAB experience with presenting at conferences and writing manuscripts experience with leadership experienced at exhibiting independence
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. • Preference may be given to applicants with experience with biological materials such as fungi, including culturing methods. • Basic experience with software such as MatLab, Python, or R for data visualization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred