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staff position within a Research Infrastructure? No Offer Description Implement algorithms for generating and evaluating synthetic data in Medical Imaging (Task T2.3) or Attribute Recognition in Images
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or related areas. No prior knowledge of cryptography is required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a CV, a list of publications
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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
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the communication system for prototypes of the autonomous monitoring system for invasive wasp species (Asian hornet); (2) to support the programming of AI algorithms for image recognition; (3) to develop the web
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
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find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR8190-JEARAU-003/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Research FieldEnvironmental scienceEducation
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algorithms and quantum error correction, ...). He/She will have the opportunity to interact with the partners of the SPINS project in Europe (Delft, IMEC, …). How to apply ? The candidate should send his/her
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believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach
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, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development