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the Bilingual LENS framework. Postdoctoral researchers at the BCBL can acquire mentoring skills by co-supervising Master’s and PhD students. Additionally, there is the opportunity to gain teaching experience
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expertise in machine learning or computational modelling who are eager to advance conceptual innovation toward practical industrial deployment. Qualifications PhD in Computer Science, Machine Learning
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learning and the use of robust statistics. This work is naturally extended to studying physics prospects for the next generation of detectors. IFAE is supported by its own PIC computing center, a Tier1 LHC
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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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learning and the use of robust statistics. This work is naturally extended to studying physics prospects for the next generation of detectors. IFAE is supported by its own PIC computing center, a Tier1 LHC
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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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Requirements: Essential: PhD in Economics, Finance, or a closely related field, obtained or expected within six months of the application deadline. Strong background in applied microeconometrics and quantitative
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or equivalent Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Education: • Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. • PhD in Physics, Materials
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image