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will strongly benefit from a multidisciplinary environment with other postdocs and PhD students working in quantum technologies at ICFO and other centres in the Barcelona area, and with strong
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, essential for understanding systematic effects. The successful candidate for this position will join a small team of PhD and post-doctoral researchers working to develop SBECs as detectors
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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. Mathematical or computational models, including artificial intelligence-based approaches, that make use of such information flows and address uncertainty and complexity in relation to food safety risk assessment
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calibration and the mitigation of instrumental effects critical to mission performance. Specific requirements and merits to be assessed Applicants must hold a PhD in physics or engineering by the start date
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» BiologyEducation LevelPhD or equivalent Skills/Qualifications Education and qualifications: Required: Degree in Nanotechnology, Biotechnology, Chemistry, Electrochemistry, Biomedical Engineering or similar. PhD
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. The ideal candidate should be highly motivated and eager to work on evolutionary and biological problems through the use and development of computational and statistical approaches. The candidate will analyze
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their footprint on science. Candidates should hold a PhD in Engineering, Mathematics, Physics or Geology and have a good knowledge on mechanics, hydrogeology, or seismology. We will value experience in
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and outreach. Co-supervision of PhD students, MSc and/or exchange students. Active contribution to group meetings and discussions. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail
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. The researcher will also be involved in the realization of hybrid quantum networks. The selected candidate will strongly benefit from a multidisciplinary environment with other postdocs and PhD students working in