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focus on quantum impurity models (particularly Kondo model). • Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques such as exact
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simulation and enhanced sampling techniques. Candidates must be proficient in Python and familiar with version control platforms such as GitHub. You should demonstrate a strong research track record through
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
epidemiologic methods, causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental
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Excellent communication and writing skills Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Experience handling very large datasets Knowledge of R and Python, and
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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, ideally with experience in generative models, reinforcement learning, or high-dimensional optimization. Programming proficiency in languages such as Python. Ability to work both independently and in a team
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Engineering, or a closely related field. * Proficiency in MATLAB or Python. * Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) * At least one journal publication as first author
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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¿ Strong programming and quantitative skills (for example MATLAB or Python) and a commitment to open, reproducible research You will be based in the Department of Psychology within the Institute
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systems and Python programming - Skills in data processing and image analysis - Oral and written communication skills, ability to facilitate collaboration at the interface between physics, mathematics, and