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Field
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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Sciences of the University of Strasbourg. Close collaborations with the various project partners are also planned throughout the PhD. A dedicated computer equipped with high-performance GPU cards will be
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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-disciplinary innovation Publications in top-tier computer conferences and journals related to AI and machine learning, including but not limited to NeurIPS, ICML, ICLR, JMLR, CVPR, ICCV, ECCV, IJCV, TPAMI, ACL
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in privacy preserving machine learning (ML) within the SSF-ML-DH project, under the supervision of Olivier Cappé (CNRS, DI ENS) and Jamal Atif (Ecole Polytechnique, CMAP). Funding is available for two
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, clinical, structural bioinformatics data, which should be outlined in the CV Prior experience in large-scale data processing and statistics / machine learning is required Demonstrated skills and knowledge in
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learning methods. Research Activities Conduct research on topics related to deep learning, reinforcement learning, the integration of machine learning and operations research, robust AI, trustworthy AI, and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
machine learning, explainable machine learning, fairness and data protection legislation. Privacy-preserving machine learning aims at learning (and publishing or applying) a model from data while the data
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) and/or machine learning (about 10 PIs). The Physics Laboratory is about 180-member strong and conducts world-leading research on a broad range of topics, including quantum technology, statistical
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development of in vitro and in vivo tumor models for cell and gene therapy applications. Furthermore, CellAction provides pre-GMP process development expertise, aiming to generate fully characterized, GMP-ready