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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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: Geophysics Appointment Start Date: The start date is flexible, from as early as October 1, 2026 to as late as fall 2027 Group or Departmental Website: https://geophysics.stanford.edu/ (link is
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab ( https
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observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods
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observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods
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built around a network of top-scientists with expertise in polymer science, adhesives, technology, and sustainability located at the Department of Forest Bioeconomy and Technology at SLU ( https
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Research Associate - AI/machine learning for
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perception built with machine learning. They will build on the lab's expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically
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perception built with machine learning. They will build on the lab’s expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically enabled
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Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize models