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Field
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23 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire de physique de la matière condensée Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher (R2) Country France Application Deadline 12 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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? PhD position in Algorithmic Number Theory and Cryptography There is a vacancy for a PhD Research Fellow in Algorithmic Number Theory and Cryptography at the Department of Informatics . The position is
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eco-friendly sensor technologies, favoring collaborations between local industrials and academia and building innovations between local actors to create startups on disruptive technologies. Within
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the I. Foton laboratories at the University of Rennes and the CNRS, the postdoctoral researcher will contribute to the development of a miniaturised optical sensor based on infrared spectroscopy
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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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06.10.2025, Wissenschaftliches Personal We are seeking outstanding candidate for a Postdoctoral position in the field of robot motion and control algorithms for soft material handling, starting
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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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We are seeking outstanding candidate for a Postdoctoral position in the field of robot motion and control algorithms for soft material handling, starting immediately. We are seeking a highly
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to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in