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Field
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assessment tool that computes SOT efficiencies through autonomous numerical modelling and quantum transport simulations, and COMPASS, an evolutionary optimiser that proposes new candidate heterostructures
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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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fibrosis. Our mission is to leverage our basic findings for enhanced repair and regeneration. Our work therefore carries both basic, clinical & evolutionary implications, and published in top journals
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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring
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vision research. The position is for 3 years, starting ASAP, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks
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, an evolutionary optimiser that proposes new candidate heterostructures. The successful candidate will strengthen the theoretical backbone of the project by extending the SOT formalism used by these tools beyond its
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..................................................................................................... up to 15 points Machine learning and optimization <b>algorithms</b> ............................................................... up to 10 points Section 3: Other Merits – up to 5...
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Job related to staff position within a Research Infrastructure? No Offer Description Functions: Collaborate on research tasks for the MIES project. Tasks: Develop data processing algorithms; draft
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techniques, or ontology alignment algorithms. - Solid grounding in software engineering practices: UML modelling, simulation, and testing under ISO/IEC/IEEE 29119. - Strong technical writing, documentation
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the position are: Integration of multimodal sensors (e.g., physiological, kinematic and behavioural signals) into a driving simulator for patient assessment. Development of algorithms for the analysis