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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
professionals interested in strengthening their applied research skills, including those considering doctoral study. The candidate will use R and/or Python to collect, clean, integrate, manage, and analyze data
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from problem definition through to validated implementation. Develop solutions using machine learning, deep learning and computer vision, and independently implement key components in Python. Develop
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intelligence (XAI) models for modeling and optimizing the photomodeling process. Where to apply Website https://investigacion.ugr.es/recursos-humanos/personal/contratos Requirements Research FieldOtherEducation
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of memristor-based circuits for neuromorphic computing: crossbar structures, vector-matrix multiplication (VMM), artificial neural networks, etc. Where to apply Website https://investigacion.ugr.es/recursos
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Knowledge of ERP/financial systems (e.g., Workday, Adaptive Planning, Oracle, or similar) Working knowledge of Python or R for data automation and analysis Experience with cloud data platforms (e.g
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(e.g., R and Python). Meritorious will be considered experience in Microscopy-based imaging, Immunohistochemistry, and cell culture differentiation protocols. You are a curiosity-drive person, fascinated
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committed to developing trainees' careers; see his Editorial, "Ten simple rules for aspiring graduate students": https://doi.org/10.1371/journal.pcbi.1009276 . Candidate profile We welcome ambitious
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(ML)-based decision support system Building reproducible data pipelines and analysis workflows using statistical programming languages (e.g., SQL, Python, or R) Formatting clinical data and preparing
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-smart growth strategies for California state, regional, and local agencies. This position will be conducting quantitative and spatial analysis using R or Python to model socioeconomic microdata, parcel
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Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0293.pdf CALL FOR GRANT APPLICATIONS (AE2026-0293) INESC TEC is now accepting grant applications to award 1 Research Grant (BI