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inquiries, please contact [email protected] or visit our dedicated PhD Call webpage for more information. https://vib.be https://vibneuroscienceleuven.be/en/phdcall2027 https://vibneuroscienceleuven.be PhD
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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR5216-VIRFAU-064/Default.aspx Work Location(s) Number of offers available1Company/InstituteGrenoble Images Parole Signal
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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leading to a PhD degree Conduct high-quality research within robotics, mechatronics, and product development Design, prototype, and experimentally validate robotic and mechatronic systems for automated
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
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the operational state of buildings from acoustic and complementary sensor data. By combining multi-microphone acquisition techniques with additional sensing technologies, advanced digital signal processing and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
retrieval: reconstructing the original digital data from the sequenced symbols. This PhD project focuses on the first and fourth challenges, by developing joint compression and error-correction algorithms
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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment