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neuroimaging (e.g., MRI, EEG) or brain-computer interface research Demonstrated record of scientific productivity (e.g., publications, conference presentations) Excellent analytical, organizational, and
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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neuroimaging (e.g., MRI, EEG) or brain-computer interface research Demonstrated record of scientific productivity (e.g., publications, conference presentations) Excellent analytical, organizational, and
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Postdoctoral Associate Position on Blockchain and Machine Learning in the Dr. Kuo Lab at Biomedical Informatics and Data Science, Yale University New Haven, Connecticut (USA) About the postdoctoral
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program; produce work for publication, present work at scientific conferences, and mentor graduate and undergraduate students. REQUIRED: Ph.D. in Physics, Nuclear Engineering, Plasma Science, Computer
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of Applied/Computational Mathematics. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering disciplines
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program; produce work for publication, present work at scientific conferences, and mentor graduate and undergraduate students. Job Requirements REQUIRED: Ph.D. in Physics, Nuclear Engineering, Plasma
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne
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, data science, computer science, or a related discipline. Job Description: The position will focus on carrying out interdisciplinary projects that leverage our comprehensive research databank on UF
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supported by an individualized mentorship structure designed to foster scientific independence and career advancement. Prior trainees from this program have gone on to successful careers in both academia and