221 computer-vision-phd Postdoctoral positions in Ireland-University-Ranking-2024 in Netherlands
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Leverage computer vision, smart
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testable computational study, communicate openly about negative as well as positive results, and work effectively with collaborators who use different scientific languages. You hold a PhD in bioinformatics
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their wild relatives over thousands of years. In this project, you will develop and apply computational omics approaches to uncover the molecular mechanisms underlying ancient plant–microbiome
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throughout their evolution. Our vision combines ideas from differential geometry, numerical analysis, scientific computing, dynamical systems, and applied mathematics to develop new mathematical frameworks
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simulation/computing team! We pioneer methods to manipulate individual strontium atoms in optical tweezers [Phys. Rev. Research 4 , 023245 (2022) , SciPost Phys. 19 , 118 (2025) , arXiv:2512.14611 (2025
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technological impact. We are recruiting two complementary postdoctoral researchers to join this programme. While both positions contribute to the same overarching research vision, candidates may have expertise in
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researcher, you will play a central role in this ambitious programme and act as a technological integrator across multiple research tracks. You will work closely with three PhD candidates focusing on different
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop