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Apply now » Internal Research Fellow (PostDoc) in Theory of Deep Learning Job Requisition ID: 20829 Date Posted: 5 August 2026 Closing Date: 2 September 2026 23:59 CET/CEST Publication: External
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Resilient Federated Learning for Autonomous Systems under Distribution Shifts School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students Dr Inaki Esnaola
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feeds Stage - Optimisation de metasurfaces optiques sur µLED par deep learning 144 / 723 vacancy Détail de l'offre Description du poste Domaine Technologies micro et nano Contrat Stage Intitulé de
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Research area Cybersecurity On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices
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deployment in applications. This project aims to develop a physics-based, self-learning BMS tailored specifically for Li-S batteries. The research will combine physics-driven models with machine-learning
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Primary supervisor Zhaolin Chen Research area Data Science and Artificial Intelligence Machine learning has recently made significant progress for medical imaging applications including image
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Research area Cybersecurity On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices
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Partnerinserat Übersicht PhD Positions - Max Planck ETH Center for Learning Systems (CLS) 100%, Zurich, fixed-term Drucken In our highly competitive CLS doctoral training program, fellows are co
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spanning machine learning, computational biology, and clinical research, working closely with leading international academic partners. The group provides a supportive, inclusive, and international
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Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including temporal data