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at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu/people/james-j-butler-jr ) and Geoff Bohling (https
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possess strong quantitative skills (e.g. Matlab, C++, Python). The term of this appointment is one year with the possibility of renewal contingent upon satisfactory performance and continued funding
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research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses on large datasets, have
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statistical skills. 6. Facility working with analysis software. Desirable Qualifications: Computer programing in Matlab, Python, C/C++ or similar. Expertise in machine learning methods and applications
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mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability and biomanufacturing challenges, mentor students
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cover letter describing research interests, a current curriculum vitae, and contact information for three references – https://unmc.peopleadmin.com/postings/95260 . Required Qualifications Ph.D
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. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We expect you to be able
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related discipline. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We
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available in the LEAF lab at Boise State University (https://www.leaf-ecohydrology.org/), funded by the USDA Agricultural Research Service. The successful applicant will work with a collaborative team to
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experience in doing so. This position is based at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu