80 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" uni jobs at Zintellect
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. Description: Theoretical research and computer simulation are carried out with emphasis on observations of space plasmas. Specific interest areas include (1) nonlinear phenomena in unstable collisionless
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, austere conditions. Learning about military deployment health and gain experience in environmental data collection. Contributing to solutions for difficult environmental health problems in complex
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measurements, airborne measurements from field campaigns (e.g., NASA CAMP2EX, ARCSIX) or surface observations. Research involving machine learning techniques will be strongly encouraged. Field of Science: Earth
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candidates who would like to learn and gain experience in how to plan and perform large animal research and/or burn research in a military medical environment. What will I be doing? As an ORISE participant
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• Unmanned Aerial System development, testing, and research • Biomechanics research in musculoskeletal and gastrointestinal systems • Machine learning • Mechatronics and robotic systems • Wind Tunnel
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high school seniors, who are pursuing undergraduate studies in STEM, with an opportunity to explore the world of agricultural science through hands-on learning experiences. Participants will have the
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for FDA reviewers. Learning Objectives: You will receive comprehensive training in eCTD submission processes, NDA/BLA regulatory pathways, R programming for web-based visualization, and R Shiny application
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in injured war fighter and patients on Extracorporeal Membrane Oxygenation (ECMO). This opportunity provides you, as the faculty participant, the opportunity to learn new scientific applications
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, machine learning, computer vision, and use of digital data collection strategies is preferred. Ability to communicate about strategies and tools implemented effectively to non-expert audiences. Ability
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research in several areas. These include, but are not limited to: Exploring machine learning techniques to analyze current systems and assess opportunities for improvement Gaining experience with virtual