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is expected to have: § PhD in Physics § Has the capacity to Lead and to guide PhD students and engineers § Proficiency in the English language and good communication skills § Experience in data
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beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
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research in focused ultrasound therapy, aiming to achieve breakthroughs in acoustic physics, ultrasound biology, multimodal imaging, intelligent treatment, and clinical big data. Our mission is to develop
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maintenance of the FAIR Knowledge Base, ensuring all experimental and simulation data is searchable and reusable. Professional-grade Python skills with a focus on maintenance. You will be responsible
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. IFAE works with CERN in the design of the ET vacuum pipes. The IFAE research program spans many topics in astrophysics and cosmology using LIGO-Virgo data. This includes searches for compact binary
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. IFAE works with CERN in the design of the ET vacuum pipes. The IFAE research program spans many topics in astrophysics and cosmology using LIGO-Virgo data. This includes searches for compact binary
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of stability protocols for memristor characterizaiton. · Process and analysis of data. · Elaboration of periodic reports to keep track of the project progress. · Preparation of scientific manuscripts and
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the development and assessment of neurotechnology aimed for invasive brain-computer interfaces. In particular, the work will include in vitro assessment of the performance of electrophysiology neural
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of materials and devices following the recently upgraded ISOS protocols and in-situ characterization. Process and analysis of data. Elaboration of periodic reports to keep track of the progress of the project
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in altermagnets to encode and process information. The project involves close collaboration with experimental and theoretical partners, including large-scale synchrotron facilities. The work will be