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this technology for capturing and processing the pulse of a city. In particular, in many applications, DAS suffers from the multi-source aliasing problem and low-frequency noise, especially in noisy environments
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Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
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, sensor failures, or the aggregation of datasets from multiple sources. There is a rich literature on how to impute missing values, for example, considering the EM algorithm [Dempster et al., 1977], low
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biology, multi-scale imaging, and evolutionary cell biology. You will work closely with the group leader to coordinate and assist PhD students and postdocs in achieving the laboratory’s scientific goals. In
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independent research group in Immunology. The successful candidate will be expected to develop a bold, innovative, and high-impact research program that complements and enhances INEM’s scientific strengths
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. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted to clinical applications. ➢ A good knowledge of Python
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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? Are you our future colleague? Apply now! Required Qualifications Master degree or PhD in Computer Science or related topic in the sectors of Smart Cities, AI/Robotics, Computer Science, Urban Systems
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Université Côte d'Azur, Mathematics Position ID: 3026 -HFWAVE [#26090] Position Title: Position Type: Postdoctoral Position Location: Nice, Provence-Alpes-Cote d'Azur 06100, France [map
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, as well as the development of age-related pathologies, including cancer. IRCAN has access to multiple platforms covering various aspects of molecular and cellular biology, as well as the use of model