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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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Qualtrics, Dedoose, or data visualization platforms. Experience contributing to or drafting federal or foundation grant proposals. Experience supervising and mentoring undergraduate and graduate students in
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such artificial empathy, and how this relates to AI sycophancy and mental health. For more information about the research conducted in the lab, please visit the lab website at https://cascoglab.psy.utexas.edu
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, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos, in close collaboration with other
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, data-driven, and process-based models to coastal systems; analyze and visualize model outputs; communicate with project partners and stakeholders; and disseminate research findings in peer-reviewed
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data-processing tool for data analysis and visualization. Minimum Qualifications: Requires a minimum of a Ph.D. or equivalent terminal degree in Electrical Engineering, Biomedical Engineering
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
intelligence, manage change, and make sound decisions. Laboratory sessions, led by TAs and writing faculty, provide structured practice in written, oral, and visual communication. These fellowships are intended
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Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the
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to Occupational Health. Proficiency in fundamentals of data management, analysis, and visualization using tools such as Excel, Power BI, R, SPSS , SAS, or STATA. Proficiency in scientific writing Preferences
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to better understand peptide-mediated mRNA decay (PMD). Key responsibilities include: Development of sequencing approaches to identify PMD substrates Bioinformatic data analysis and visualization