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Field
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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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, PRS, pathway analysis, or Mendelian randomization) and statistical analyses in R or Python; the candidate must have programming skills, ability to handle large datasets, experience in scientific
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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field. - Evidence of strong prior experience analyzing large datasets using advanced econometric and statistical methods (using R, Stata, and/or Python). - Strong interest and experience working
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of future research proposals. Skills, Experience & Qualifications Needed PhD in an appropriate subject area (awarded or submitted). Proficiency in Python for scientific computing, including basic scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Experience Applicants must have experience writing and modifying scientific code, performing data analysis or simulation workflows, and proficiency in at least one programming language such as Python, C, C
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Education, STEM Education, Statistics, or a closely related field. Experience conducting quantitative analysis using statistical software such as R or Python. Experience conducting educational, social science
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and to solve major global challenges. About you You will hold a relevant PhD/DPhil in Cognitive Neuroscience, Psychology, or a related subject. Strong programming skills (Python and/or MATLAB) and the
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glasses), software pipelines (using Python libraries like BrainFlow, MNE-Python, and EEGLAB), and real-time data processing for applications like WebGrid-based motor-imagery classification. The role
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models, transformers, representation learning, contrastive methods). Solid experience with Python and Pytorch and good command of software development tools such as GIT. A good track record of authoring