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of dense cloud of cold atoms Supervision of PhD students Implementation of the missions on the Yb experiment Anderson Localisation ERC Andlica ANR LiLoA Where to apply Website https://emploi.cnrs.fr/Candidat
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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Postdoctoral Research Associate, Electrical and Computer Engineering Posting Number req24106 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Main
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Pose EstimationStrong background in computer vision and machine learning applied to pose estimation and visual servoing; Experience with OpenCV, PCL (Point Cloud Library), PyTorch/TensorFlow, and 3D
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the European Doctoral Network MIPrecise for development of novel affinity-binders for high-sensitivity proteomics and biomedical applications in cancer. This PhD position is an exciting opportunity to contribute
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stakeholders, and FORM is a key founding player in CSlib’s steering and technical leadership . Who we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer
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reports, publications, presentations, and educational activities (courses, hackathons, community events). Your Profile: Excellent Master’s degree or PhD in Computer Science, Software Engineering, Data
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to