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Tech Europe Foundation (TEF) Curriculum and timeline The first year provides rigorous core training at the heart of Mathematical Analysis—bringing students quickly to the research frontier and enabling
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PhD students working in 11 academic institutions and collaborating with 1 technological center and 13 companies. The work will comprise: (i) Selection of the waste source and valorisation of TiO₂ waste
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CNR - ISTP (Consiglio Nazionale delle Ricerche - Istituto per la Scienza e Tecnologia dei Plasmi) | Italy | 11 days ago
acceleration in space and astrophysical plasmas; iv) Theoretical and numerical modeling of space and astrophysical plasmas; v) Analysis of experimental measurements obtained by in‐situ satellites in
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, to decrease our dependence on fossil fuels. Energy Geostructures (EGs) represent an effective means to meet the world request of less dependence on unsustainable resources by being designed as dual-purpose
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of ethical digital tools capable of fostering empathy, critical thinking, and multi-perspectivity without trivializing the content. Through a research-creation approach, combining case study analysis with
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CNR - ISTP (Consiglio Nazionale delle Ricerche - Istituto per la Scienza e Tecnologia dei Plasmi) | Italy | 11 days ago
astrophysical plasmas; iv) Theoretical and numerical modeling of space and astrophysical plasmas; v) Analysis of experimental measurements obtained by in‐situ satellites in the heliosphere. Preference is given
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/geophysics, or physical acoustics. Applicants from biology or related fields with solid quantitative and programming skills are also welcome. Experience with signal analysis and/or machine learning will be
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. Interested students will become part of the recently created Bocconi European Studies Lab (BLEST - https://blest.unibocconi.eu/ ), a centre for interdisciplinary research in the field of European matters
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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of computational linguistics; d) experience in statistical analysis and in the use of dedicated software (e.g. R); e) experience with programming software (e.g. Python). Selection process Together