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emphasizes developing and deploying AI tools—especially vision-based and multi-sensor analytics—to improve safety for pedestrians, bicyclists, and micromobility users. The scholar will play a central role in
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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, including a next-generation academic cleanroom as well as advanced platforms for physicochemical and bioelectronic characterization. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8520-YANCOF-024
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Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable Ability to work independently, as well as collaboratively in
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led by three faculty members and three senior scientists. Job Description Primary Duties & Responsibilities: Information on being a postdoc at Washington University in St. Louis can be found at https
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-driven analyses that help inform future sensor requirements. The position also provides opportunities to investigate how modern artificial intelligence and scientific machine learning techniques can
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of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time
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Medicine Postdoc Appointment Term: One year with possibility of extension Appointment Start Date: October 1, 2026 Group or Departmental Website: https://profiles.stanford.edu/john-openshaw(link is external
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. The successful candidate will lead the development of next-generation wearable devices specifically designed for spinal cord injury applications. This role involves the end-to-end development of advanced sensor
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insulator, localization, etc.) and to study their performance as thermal sensors for bolometers operating at low temperatures. The team thus covers the entire experimental cycle, from the design and