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Quantum Readout of Physical Unclonable Functions; Use of PUFs in quantum-cryptographic protocols. Information The project focuses on the use of PUFs as a physical authentication credential, and in
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(particularly computer vision), (2) machine learning for data analysis, (3) sensor technologies (e.g., electromagnetic sensors), (4) design and integration of mechanical/electrical devices; and an interest in
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, geometric data analysis, and infinite-dimensional geometric structures. The two postdoctoral researchers will work closely together, together with professors Rafael Bailo and Mireille Boutin, to develop
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, environmental sciences, public health, sociology, or a related field. Experience with quantitative data analysis, including the analysis of survey data and environmental measurements, and proficiency in
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analysis? Are you inspired by applications to engineering, physics, or industrial problems? Do you thrive in a multi-disciplinary environment? Information Many of the most challenging problems in science and
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. Strong background in MRI, NMR, spin physics, magnetic resonance relaxation, or a related area. Experience with experimental research and quantitative data analysis. Experience with MR pulse-sequence
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pollutants, a combination of advanced observations, innovative instrumentation and data analysis is required. Recent developments in miniature atmospheric instruments, low-cost air quality monitoring
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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, its comparative data analysis, and the ROUTES Atlas co-development. You will help design standardized metrics, indicators, and data collection protocols to assess the short-, medium-, and long-term