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follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and algorithms on graphs. Machine learning and deep learning
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and build a light-sheet encoded-illumination microscope Characterize the system Sample Chamber Development Development of Decoding Algorithms Single-Plane SR Imaging Volumetric Imaging of selected
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in dynamic environments. The role will involve the design and analysis of control algorithms based on mathematical and optimisation tools, their implementation in Python, validation through simulations
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corrosion detection in metallic structures. The position focuses on the development, training and validation of artificial intelligence algorithms for multispectral image processing, with the objective
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, DMC). Development and implementation of Quantum Monte Carlo algorithms. Numerical simulation of many-body quantum systems. High-performance computing (HPC) and Linux environments. Scientific programming
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algorithms in the context of the ERC WINC project (www.winc-project.eu ). Functions to be developed: Study recent trends in the field of quantum computing for communications and computing. Analyze limitations
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) for GNSS-R and Signals of Opportunity (SoOP). Satellite scheduling (Tasking): Implement centralized (MILP) and decentralized (CBBA) scheduling algorithms. System optimization: Perform multi-objective
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of hybrid power plants comprising hydro units and energy storage systems (batteries, supercapacitors and/or flywheels). Development of hierarchical control algorithms for the robust provision of balancing
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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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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring