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Field
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reconstruction to overcome these challenges. Your tasks - develop physics-informed, self-supervised learning approaches for phase retrieval - implement reconstruction algorithms on HPC clusters for large-scale
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experimental settings. In addition to fieldwork, the PhD candidate will contribute to the development of novel inversion algorithms for EMI and GPR based on full-waveform inversion techniques. These methods aim
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. The studentship will start on 1st October 2026. Project Description Project Aim To develop and validate an AI co-pilot software system integrating multi-modal radiomics data to enhance cancer detection speed and
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healthcare, in most cases, there is only access to information at the patient level, about the patient’s health status and disease development. In this project, we will develop theory, algorithms and methods
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
(Loreley, CEDAR and MAGELLAN). This project aims to design and develop an open-source management solution for a federated and distributed data exchange platform (DXP), operating in an open, scalable, and
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(Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class switching and somatic hypermutation, and identify putative candidate tumor-regulatory
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develop personalised biofeedback methods that train youth and police to recognise subtle, often unconscious, signals of stress. It will enable target groups to react more adequately in stressful moments by
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this project, you will develop the next generation of federated machine unlearning algorithms—methods that can efficiently deliver genuine, verifiable, and robust erasure without sacrificing model performance
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project RISK-AI which focuses on the Nordic‑Baltic context to examine how two healthcare cases with different AI-tools interpret the AI Act, define acceptable clinical risk, and develop strategies
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project RISK-AI which focuses on the Nordic‑Baltic context to examine how two healthcare cases with different AI-tools interpret the AI Act, define acceptable clinical risk, and develop strategies