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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
cycles. Understanding these complex interactions requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous spectrum from the Visible
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interactions between soil microbes and crops. The overall aim of the project is to characterize novel signalling processes that enable plant root endosymbiosis. The role: Working as part of a team led by Prof
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immediately, depending on visa status and requirements. Group or Departmental Website: https://med.stanford.edu/matteo-mole.html (link is external) https://www.devo-evo.com (link is external) How to Submit
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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interaction is a characteristic of the Institute’s scientific ethos. The Cyprus Institute invites applications for a highly qualified and motivated professional to join the Artificial Intelligence Applications
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Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 31 Mar 2026 - 23:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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motivated and independent researcher with a strong interest in spatial gene regulation, root–soil interactions, and molecular cell biology. Applicants must hold (or be nearing completion of) a PhD in
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responses, and molecular connectomics to resolve the synaptic inputs of hundreds of neurons simultaneously (https://doi.org/10.1101/2025.07.16.665048). We are seeking candidates with a PhD in Neuroscience or
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
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lead this new group, we are offering at our location in Müncheberg a full-time position as Tenure Track Scientist (m/f/d) on “Global-local interactions in agriculture systems” [Reference N° T01-2026