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) Focus on Microbiome Data Science and Explainable Machine Learning Core research themes We are looking for motivated and skilled students to join our research team in the field of plant microbiome data
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completed postdoctoral training. To be considered, those interested must apply through the University of Chicago’s Academic Recruitment job board, which uses Interfolio to accept applications: https
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Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/184377 . Applicants must upload a CV including bibliography and a cover letter. Review of complete applications
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8 Apr 2026 Job Information Organisation/Company Medijsko sveučilište Research Field Engineering » Computer engineering Researcher Profile Established Researcher (R3) Positions Other Positions
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maintain power and non-power equipment including: Mops, shovels, brooms, pressure washers, scrubbers, power floor sweepers, shampoos, vacuums, high speed floor machines, buffers, walk behind floor machines
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of working on a computer Advantages: active participation in scientific research work, training, recognition and awards for excellence, experience working in a cell laboratory, experience working with PCR
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Employer https://main.hercjobs.org/jobs/22174438/assistant-associate-full-project-scientist-machine-learning-data-analytics-advanced-bioimaging-center-department-of-molecular-and-cell-biology Return
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to reduce the cost of clean hydrogen to $1/kg by 2031. The project proposes to address key scientific challenges by using molecular simulations (reactive force fields like ReaxFF and machine learning
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical