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analysis, and large-scale testing infrastructures. Studying deterministic and probabilistic tracking mechanisms (e.g., shared identifiers, IP correlation, fingerprinting (see [1]), or behavioral
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of Excellence boasting world-class facilities and advanced nanofabrication capabilities. WHEN? Planned start date: Late 2025 / Early 2026 REQUIREMENTS: (1) Master's degree in Physics, Nanotechnology, Materials
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by Dr. Kalanit Grill-Spector (Stanford University), with the opportunity for a short-term research stay at Stanford. International conference travel and research visits will be supported with up
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hypervelocity impacts. The work will involve: Chemical, thermal, and microstructural characterization using differential scanning calorimetry, thermogravimetry, burning tests, optical and electron microscopy, and
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applicable, passed the relevant test. In such a case, the panel may set a minimum score for candidates to be placed in the pool. The pool will list candidates in descending order of score. Candidates in
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FieldMathematics » Computational mathematics Internal Application form(s) needed IC2025_10_02_ Research technician:PhD student in Bayesian inverse problems in brain simulation_Matteo Croci.pdf English (295.74 KB
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professional opportunity, but also being close to a stimulating environment with all our research lines in simulation and numerical modeling, manufacturing and experimental testing of composite materials, design
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) related to the proposed research topics. c) If neither of the above conditions is met, the applicant must prove that they are enrolled in a doctoral program within the Catalan university system at the time
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resolutions to examine the role of thalamocortical interactions in different cognitive processes. MRI and behavioral data collection Preprocess, analyze, and interpret behavioral, functional, and structural MRI
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the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process. The CVs will be assessed according the following general criteria: The maximum score