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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels
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. - Experience in the characterization of monoclonal antibodies, therapeutic proteins or bioconjugates would be an advantage. # Scientific and technical skills - Strong knowledge of mass spectrometry and protein
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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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scienceYears of Research Experience1 - 4 Research FieldEnvironmental science » Global changeYears of Research Experience1 - 4 Additional Information Eligibility criteria Knowledge / Skills - Atmospheric modeling
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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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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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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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Information Eligibility criteria Technical Skills 1) Expertise in fluvial hydrogeomorphology: - Mastery of sediment transport processes and fluvial dynamics. - In-depth knowledge of bedload measurement methods