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expertise in artificial intelligence, particularly in the areas of knowledge representation, reasoning (SAT, constraints), and model counting. The PostDoc will join a dynamic and respected team in
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Experience1 - 4 Additional Information Eligibility criteria - PhD on steganalysis and/or watermarking - knowledge in image coding and on generative methods - knowledge about python Additional comments NA
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FieldEngineering » Materials engineeringYears of Research Experience1 - 4 Additional Information Eligibility criteria Knowledge of physical and/or mathematical modelling; Knowledge of differential equations
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Regular interaction with local and regional authorities and consortium partners; participation in project meetings and knowledge transfer/valorisation activities. The successful candidate will be based in
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of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria -PhD in theoretical physics, quantum physics, statistical physics, condensed matter physics, or a related field. -Knowledge of
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criteria Skills in experimental research are desirable. Knowledge of the scientific literature in numerical cognition and/or developmental psychology will be considered an advantage. A background in
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Research FieldMathematicsYears of Research ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria Good knowledge of particle
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Additional Information Eligibility criteria PhD in photonics, optics, telecommunications, signal processing or a related scientific or engineering field. * Strong knowledge of photonics and optical
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ExperienceNone Additional Information Eligibility criteria General, theoretical or subject-specific knowledge: - The candidate must have solid experience in materials science, synthesis and characterization
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of photo-ionisation and shock (e.g. Meudon-PDR, CLOUDY, MAPPINGs) would be an asset. Experience with manipulating multi- wavelength data will also be considered. Knowledge of extragalactic astrophysics is