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- ICN2
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or equivalent Skills/Qualifications · Advanced Academic Background: A PhD in Mathematics, Statistics, Physics, or a related quantitative field with a strong emphasis on probability theory. · Programming
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data for European and international funding applications. Specific Requirements PhD in Physics, Engineering, Mathematics, Computing, Bioinformatics or related fields. Master's degree in Data Science
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Bioinformatics, Computational Biology, Biomedicine, Mathematics, Physics, Engineering or related fields Proven experience in large-scale data analysis (big data) applied to medicine or biomedicine Experience in
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[map ] Subject Areas: Physics / High Energy Theory , Particle Theory , Cosmology , Particle Physics , Quantum Information Science , Quantum Computing , Mathematical Physics , astrophysics , Quantum
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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6 Mar 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Biomedical engineering Physics » Biophysics Mathematics
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20 Mar 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Physics » Computational physics Computer science » Modelling tools
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physics, which traditionally has relied upon powerful particle colliders, e.g. the LHC at CERN. Axions and axion-like particles (ALPs) are well-motivated dark matter candidates that could solve multiple
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- Process data and develop predictive chemometric models - Prepare manuscripts, reports, and presentations for dissemination of findings within the scientific community. - Evaluate the obtained results and
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of modern condensed matter physics, from the existence of anyonic excitations in quantum Hall systems to the emergence of gauge theories in strongly-correlated materials. Ultracold atomic gases subjected