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- CRAG-Centre de Recerca Agrigenòmica
- ICN2
- Institut de Físiques d'Altes Energies (IFAE)
- BARCELONA SUPERCOMPUTING CENTER
- Catalan Institute for Water Research (ICRA)
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engaged in leading-edge basic and applied plant and farm animal sciences. CRAG is established as a Consortium of the Spanish National Research Council (CSIC), Institute of Agrifood Research and Technology
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challenges and contribute to publications in high-impact scientific journals. Requirements: Education: PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at
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Education and qualifications: Required: PhD degree in Biotechnology or related fields. Experience in experimental models and molecular microbiology of serious infections (e.g., bacteraemia, endocarditis
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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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and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience: BSC-CNS
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, KNOWLEDGE & SKILLS Must have – Required Research Field or Field of knowledge: Chemistry, Analytical Chemistry, Environmental Chemistry or related field Qualifications and Education Level: PhD in chemistry
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Technology (IRTA), Autonomous University of Barcelona (UAB), and University of Barcelona (UB). The Center is located at the UAB Campus, and currently hosts 200 members from across the world. Research Programs
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and astroparticle physics. The members of the group are D. Blas, E. Masso, A. Pomarol, O. Pujolas, M. Quiros, F. Rompineve, E.Salvioni and A. Wulzer. Applicants should have a PhD degree in Physics by
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Infrastructure? No Offer Description Role Description Artificial intelligence (AI) and quantum technologies are among the most transformative areas of frontier research and development in science and engineering
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), Claudio Gatti (LNF, Italy), and Matthias Schott (U. Bonn, Germany; leading PI). The successful candidates will join the GravNet-IFAE group, in charge of developing and optimizing all theoretical aspects