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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 hours ago
Health, Biostatistics, Epidemiology, Exercise Science, Kinesiology, or closely related areas • Some analytic programming/coding skills for data management and statistical analyses • Interest in learning
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of physics/maths and biology is essential. Coding competency (in C, Python, Matlab or similar language) is essential. Applicants should demonstrate a publication record appropriate to their level of experience
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distribution of the RSV remains stable across both samples. We then propose a statistical technique to efficiently represent (compress) the RSV such as satellite images into simple objects that can be used
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data collection with stakeholders from participating schools, organize, and manage data storage (f) Process and conduct qualitative data analysis (i.e., transcribing, coding) (g) Write reports, be
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) into a long-term national facility. About the opportunity Develop and enhance CARTA software by writing C++ backend code, improving deployment on large-scale infrastructure, and implementing new features
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real-time data analysis and interpretation code. Build a connection between experimental data, analytical solution and Monte Carlo X-ray scattering simulations. In collaboration with ALS Photon Science
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writing C++ backend code, improving deployment on large-scale infrastructure, and implementing new features such as time-domain and Virtual Observatory functionality. Collaborate with international teams
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, quality-diversity optimisation, constrained optimisation Genetic programming, code evolution, neuroevolution Fitness landscape analysis and visualisation Machine learning for algorithm performance