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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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Aperture Radar (SAR) imagery and AI methods to detect and monitor slow gravitational movements of seismic origin or linked to changes in the cryosphere in the Alps. The proposed approach is based
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of technological innovation aimed at sup- porting farmers by alerting them of imminent lambing events. Its objective is to provide a reliable predictive system based on sensors and artificial
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
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contribute to the development of leading experimental research in magnetic sensing and spin-electronics-based devices. Main responsibilities: • Develop an original and ambitious experimental research programme
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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Paris. Since the disclosure of the Spectre and Meltdown attacks, Timing-Based Side Channel Attacks (TSCAs) have received significant attention. Modern System-on-Chips (SoCs), with their increasingly
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-performance single-photon sources based on semiconductor quantum dots (QDs) in cavities [1]. In particular, we have developed efficient interfaces between a single material qubit (the spin of a single charge in
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at the metropolitan scale • Integration of AI-based learning capabilities to refine all types of models studied • Consideration of environmental aspects in the comparative evaluation (positive impact and modal switch
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generalization behaviors. Design data-driven recommendation mechanisms, based on the results of the framework, for (i) dataset creators, to guide diversity-sensitive and quality-oriented generation or collection