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practices in the US agriculture. Proficiency in R, Python, Matlab, or other common programing languages (e.g., C/C++). Strong computational skills. Strong oral and written communication skills. Stipend
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, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis. The goal of these quantitative systems pharmacology models is
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(GCMC) methods. Proficiency in phonon calculation. (3) Proficiency in computer programing such as Python, Linux script, etc. (4) Excellent oral and written communication skills. It is recognized that not
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implementing and evaluating precision technologies. Experience in the use of scripting languages (e.g. python, R, etc.) Experience performing multivariate statistical analyses and using statistical analyses
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received a master's or doctoral degree in the one of the relevant fields Preferred skills: Experience/education in python, R, or other computer programing and statistics tools Education/experience in any
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improvements focused on vegetative effects on sediment transport. Data processing and analysis will be performed in the MATLAB, Python, Fortran, or R programming languages. Where will I be located? Location
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engineering. Selection factors include coding proficiency / experience in: API and front-end development (eg. HTML, CSS, JavaScript); programming languages (e.g. PYTHON); relational databases and query
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genetics, plant phenotyping and data analysis using tools such as R or Python. Stipend $65,000.00 – $100,000.00 Yearly Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only Degree
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modeling, quantitative analysis, and problem-solving within complex systems is highly valued. Candidates should have proficiency in relevant software tools and programming languages (such as Python, R
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have strong background in computer programming and exposure to one or more of the following skill sets are desirable: Python, R, materials optimization, design of experiments, materials structure