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power. In this PhD position, you will analyze the task of sensing and coordination on an information-theoretic basis with the ultimate goal of implementing a resilient sensing and coordination protocol in
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21 Jul 2026 Job Information Organisation/Company Munster Technological University Department CAPPA Centre Research Field Physics » Optics Physics » Applied physics Engineering » Electronic
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
engineering Experiences in sensors and instrumentation Languages : A good level of English, written and spoken, is required Relational skills : Ability to work in a team and will to participate in the research
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AI systems for real-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping
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how fluid dynamics can be simulated on quantum computers by designing novel quantum algorithms, implementing software, and evaluating their performance on quantum computer simulators and potentially
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disciplines Ability to work independently as well as in a teamYou are fluent in English (spoken and written) Desirable, but not required: Experience with microbial or algal culturing or experimental
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data • Design clinically meaningful benchmarks and robust evaluations • Publish at leading machine learning and medical AI venues • Collaborate with clinicians, computer scientists, and European partners
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quantitative imaging. A research-oriented mindset and enthusiasm for scientific discovery. Ability to work independently as well as in an interdisciplinary team. Interest in collaborating with clinicians and
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Chemopleth 1.0 as ground-truth training data. Two methodological pillars anchor the role: computer-vision pipelines for image registration and segmentation that bring raw 3-D imaging into the atlas framework
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use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from stars, active galactic nuclei, warm dust, atomic hydrogen and relativistic electrons. Spectroscopic