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methods. Responsibilities and Essential Duties 1. Develop and evaluate radar signal processing algorithms for detection, estimation, and imaging applications. 2. Develop and evaluate radar signal processing
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algorithms for information gathering problems involving one or more rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties
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algorithms for problems related to information markets involving multiple rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties
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10 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms
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environments; and collaborate and guide a team of staff to develop core portability tools, identify key technical opportunities, and drive engagement success. Job Requirements REQUIRED: Bachelor’s degree
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advanced machine learning models and physics-informed algorithms for analyzing high-speed XRD data, with a focus on identifying critical transformation windows and assessing phase evolution kinetics
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At the Fraunhofer Institute for Laser Technology ILT, we may not be developing lightsabers to fight the dark side of the force, but our innovationsoften sound like something out of science fiction
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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will help to develop advanced, real-time atmospheric turbulence correction algorithms to enhance the long-range imaging quality of optical sighting systems. You will embed new knowledge