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is the necessity of training a new generation of researchers, possessing a full mastery of the mathematical tools that are needed for modelling and statistically analysing data structures displaying
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Present results in well-known international conferences and workshops Coordinating research activities and delivering outputs Implementing solutions Providing guidance to PhD and MSc students Organizing
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and MSc students Organizing relevant workshops and demonstrations
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scientific publications Present results in well-known international conferences and workshops Coordinating research activities and delivering outputs Implementing solutions Providing guidance to PhD and MSc
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solutions Participating in proposal writing Coordinating research projects and delivering outputs Disseminating results through scientific publications Providing guidance to PhD and MSc students Participating
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Fiber optics / photonics / optoelectronics Statistical signal processing Physical layer security Machine learning and artificial intelligence applied to quantum communications. The position holder will be
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fundamental and applied topics (quantum science and technology, statistical physics and machine learning, chemical physics, soft and living matter, photovoltaics - sustainable energy, spectroscopy and
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advanced statistical analyses on data emerging from ÉpStan (under supervision) Present research findings to other team members or researchers Contribute and support (on-going and future) research projects
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for interface development are advantageous. (and/or) Python - Expertise in image processing with Python with common libraries including NumPy and SciPy for matrix and statistical analysis, OpenCV for computer