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Field
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, this will include the refinement of clinical research data models, development of ingest and QA/QC pipelines, and support for geospatial data visualization. The work will be performed in several cloud and/or
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psychological experiments: designing and constructing experiments, recruiting and consenting participants, and collecting data. Statistical skills, including data analysis and visualization. Familiarity with
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learning (selected papers): VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining, Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny, Arxiv
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with gastrointestinal research Experience with organoid cultures and/or flow cytometry Proficiency in analysis and interpretation of -omics data Please submit Inquiries to Yash Choksi (yash.a.choksi
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and develop training materials related to energy–water resilience and futures analysis Other duties as assigned Unit URL https://www.uidaho.edu/agricultural-life-sciences/academics/soil-water-systems
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24 Jun 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Architecture » Design Engineering » Civil engineering Engineering » Thermal engineering
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to Occupational Health. Proficiency in fundamentals of data management, analysis, and visualization using tools such as Excel, Power BI, R, SPSS , SAS, or STATA. Proficiency in scientific writing Preferences
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initiatives, and IECMH-focused evaluation partnerships. This position offers advanced training in applied research, project management, data analysis, and grant development, with opportunities to co-author
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. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management