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» Algorithms Researcher Profile First Stage Researcher (R1) Application Deadline 12 Mar 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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corresponding to different subsets of sensors. Such an approach is NP-hard. Given an upper bound on the number of attacked sensors, and so-called sparse observability condition algorithms have been proposed using
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training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical
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: Python programming Bash programming Familiarity with genomic data Notions of algorithmics Experience with back or front-end web development is a plus Soft skills : team spirit ease in communication
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selected candidate will investigate how aerosols influence cirrus clouds from regional to hemispheric scales. The work will involve implementing and testing different ice nucleation schemes in regional
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information sources and to provide the relevant analysis of all the available variables in different scenarios conditions. In order to reach this goal, deep learning-based algorithms will be implemented
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different sensory modalities such as vision, audition, haptics Plan and conduct empirical user studies, including experimental design, data collection, and analysis of factors such as immersion, presence
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the ECHOES ERC project. The primary objective of this PhD is to develop and validate innovative post-processing techniques for the detection of exoplanets in coronagraphic images. Unlike traditional methods
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few years, the advisors have been working on the possibilities offered by Systems, Control and Signal approaches for the development of methods for the design/understanding of systems from different
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sequences. Development the analysis method and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect