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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
techniques and geospatial tools Proficiency in Python/R, big data platforms, and GeoAI/machine learning frameworks Experience in managing large data sets Required Education Doctoral Degree in the appropriate
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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review of past field campaigns, through interactions with project stakeholders) Participate in summer field work Conduct observationally based research into the urban boundary layer using “big data” (e.g
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
of the adverse effects of the space environment utilizing satellite observations, physics-based numerical models, machine learning, and data assimilation. Our research will help safely design and operate
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for the development and implementation of innovative statistical and machine learning approaches for analysis of genetics and genomics data. We are particularly interested in applicants who have experience with methods
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: - Mentor graduate and undergraduate students. Develop new research: - Support or lead research proposals. Minimum Qualifications PhD in Electrical Engineering, Electrical and Computer Engineering, Materials
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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling
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Position Description: Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW … changemaking for a healthier Wisconsin. A Postdoctoral
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and