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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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Movement Sciences at Rutgers University is seeking a highly motivated Post Doctoral Associate to work on translational projects at the intersection of biomechanics, machine learning, exergaming, and mobile
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multi-modal perception and machine learning. Current noninvasive agricultural monitoring systems rely primarily on passive sensing, which limits sensitivity to early-stage plant stress. This project
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PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
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fundamentals of complex matter, and (iii) new technologies to envision applications of molecular machines in the real world. The Post-doctoral associate will be based in Strasbourg at the Institut Charles Sadron
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University of Vienna Centre for Translation Studies (ZTW) is looking for a German and English-speaking post-doc candidate to join the HAITrans (Human and Artificial Intelligence in Translation) research group
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post-doc will lead the project activities related to this work, including refining analytic approaches, conceptualizing important research questions, implementing data analysis best practices, analyzing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Position Title Post-Doc Research Associate Vacancy ID PDS004749 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with