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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
develops various tools such as the Faust programming language (a DSL for Real-Time audio DSP), Syfala (a tool to facilitate the programming of FPGAs for real-time audio DSP), and FloPoCo (a generator of
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to programming, data structures, algorithms, application development, and software engineering. - Utilize inclusive pedagogies and course design to effectively promote student learning. - Engage in curriculum
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. It is anticipated that the successful candidate will begin the appointment on August 16, 2026. Job Duties: The successful candidate will develop a vigorous research program, mentor graduate students
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detectors (Partial) automation of detector characterization for more efficient analysis Algorithm development: Development of a correction method based on information field theory for atmospheric image
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understanding of KB development Working with specific Robotics applications in multiple domains Proficiency with various state-of-the-art Computer Vision models Project 2. - PhD Position in Sustainable AI
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requirements and expectations Provide technical leadership within the department for imaging and EO/IR programs and initiatives Independently manage multiple and/or large electro-optic projects Develop and
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to implement the Data Strategy, develops and implements standard programming practices while also ensuring that they are employed across a study or program. What You’ll Do Leads, coordinates and manages timely
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of application development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). A record of productive and creative research as proven by
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for facilitating effective communication with, and interaction between, the Hub’s various stakeholders, both internal and external. This will involve managing multiple communications channels and planning, creating
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include: Advanced Reinforcement Learning: From sample-efficient offline RL to multi-agent coordination and hierarchical RL, we are developing algorithms that can learn complex behaviors and strategies in