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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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the Cancer Data Science Core at the Stanford Cancer Institute (link is external) , directed by Dr. Summer Han, Associate Professor at Biomedical Informatics Research and co-directed by Dr. Allison Kurian
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: Professor Alireza Khani’s Transit Lab (http://umntransit.weebly.com) has a post-doctoral associate position
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
scientific reports. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09672 Requirements Skills/Qualifications Technical skills and level required: master's level in computer
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Associate I, Information Science Posting Number req25315 Department Information Science Department Website Link https://infosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
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with Professor Stephen Hinchliffe, you will design and deliver research examining UK farm animal health and biosecurity policy and practice. Through in-depth engagement with farmers, veterinarians
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition