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modeling (regional planning, ecological, hydrologic climatic, or wildfire modeling). Experience with scientific software development in C/C++, FORTRAN and/or Python. Experience working with geo-spatial
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. Familiarity with wildfire modeling, risk assessment, or disaster management. Strong programming skills in Python, Matlab, R, or other relevant languages. Experience working with large datasets and high
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Online applications must be received before 11:59pm on: August 21, 2025 If a date is not listed above, review the Applicant Instructions below for more details. Available Title(s): 306-YN_FACULTY
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collaboratively within a team. Excellent written and verbal communication skills. Proficiency in molecular bench skills and/or data analysis. Preferred to have familiarity with R, Python, or related scientific
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listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability
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programming languages (e.g., R, Python) and bioinformatics tools for data analysis is an advantage. Excellent communication and interpersonal skills, with the ability to collaborate effectively within a
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experience and interests, a full CV with a publication list, names of at least three references, and Ph.D. completion date. Review of applications will be on a rolling basis. The position will remain open
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scientific research findings Required qualifications Ph.D. degree in biomedical sciences or related fields Training or experience or willingness to learn iDISCO, Python, and whole brain activity mapping
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social science, or a closely related field is required. -Candidates with solid knowledge and experience in agent-based modeling (NetLogo), machine learning methods (Python), deep neural networks, or social
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data. · At least one year of research experience in transportation engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database