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- Institut de Físiques d'Altes Energies (IFAE)
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
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Field
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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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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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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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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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FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications NECESSARY SKILLS REQUIRED -PhD in Bioengineering, Biomedical Engineering, Biotechnology or related -Previous experience in the design
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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