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candidate holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB
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at multiple sites based on operational needs. The university will not sponsor work visas for this position. Additional Information: The OSUCCC – James is the only cancer program in the United States that
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
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laboratory, aid faculty/staff in supporting academic programs or patient care. Duties will be clear and direct. The Student Assistant will require excellent customer service and strong organizational skills
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order to uncover biologically and clinically meaningful disease subtypes, regulatory programs, and therapeutic vulnerabilities. This position provides strong mentorship, access to large clinical cohorts
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his/her own plan of care and reducing the length of hospitalization, The staff nurse plays a critical role in staff engagement, the patient experience, quality and safety, and cost-effective care
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on survey design and questionnaire development; design, programming, testing, and deployment of surveys including skip patterns, preloads, implementing logic for questionnaire paths, and roster creation
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Biomedical Engineering, Psychology, or a related field At least two years of postdoctoral experience. Required Qualifications: Thorough familiarity with programming and analysis in MATLAB and/or Python. Strong
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. Experience in cochlear implantation, auditory electrophysiology, computational programming, and computational modeling is preferred. Successful candidates will have a proven ability to collaborate effectively