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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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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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: Education: PhD in Biomedical, Neuroengineering, Electronic or Electrical Engineering, Physics, Bioinformatics or related engineering fields · Advanced Python / MATLAB programming skills. · Electrophysiology
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engineeringChemistryYears of Research Experience1 - 4 Additional Information Benefits €23,829.68 gross/annual (per full-time position) Eligibility criteria All the candidates who cannot prove the required academic degree
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. Applicants should have a PhD in Physics or related topics by the start of the contract. For further information, please contact: Diego Blas (dblas@ifae.es). Sending applications implies the candidate’s consent
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experience. Points 65 - Proven knowledge about how to operate electromagnetic simulation software CST, COMSOL, GDCALC: 10 points for each tool, up to 20 points according to their knowledge level. - Proven
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to obtain spin-resolved images of fermionic systems with N up to 10. The successful candidate for this position will join a small team of PhD and post-doctoral researchers working to elucidate the mysteries
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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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+ EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: · Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. · Knowledge: Deep
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will