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crystal / thin film scattering measurements, exploiting developments in artificial intelligence and machine learning. We also invite candidates with interests in beamline automation and autonomy
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spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational methods to discover unknown metabolites that have strong associations to experimental
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responsibilities. Job Description: Dr. Feifei Xiao's laboratory (https://directory.ufhealth.org/xiao-feifei ) at the University of Florida's Department of Biostatistics (https://biostat.ufl.edu/ ) is accepting
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoctoral Researcher - Machine Learning for Plant Regulatory Genomics
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methodologies and overall research progress. Position Status Full Time Posting Number 26FA0670 Posting Open Date Posting Close Date 10/01/2026 Qualifications Minimum Education and Experience PhDs degree in life
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Nutrition Postdoc Appointment Term: Fixed term for one (1) year with opportunity for renewal Appointment Start Date: ASAP Group or Departmental Website: https://colmanlab.stanford.edu/(link is external) How
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Classification Title: Post-Doctoral Associate in unsupervised and generative ML for chemistry Classification Minimum Requirements: PhD in Chemistry or related area Strong coding (Python) and
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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contexts where multiple humans and multiple autonomous systems are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility
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scienceEducation LevelPhD or equivalent Skills/Qualifications PhD degree in Computer Engineering, Computer Science, Information Technology, Systems Engineering, or a related field. Strong knowledge of cybersecurity