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3 Dec 2025 Job Information Organisation/Company Politecnico di Milano Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 30 Dec 2025 - 12:00 (UTC) Type of...
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research aims to develop and apply methods for analyzing respiratory function
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3 Dec 2025 Job Information Organisation/Company Politecnico di Milano Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 30 Dec 2025 - 12:00 (UTC) Type of...
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for real online scenarios and to study formal verification methods. The program will involve the study of machine learning tools and the development of simulation systems capable of integrating multiple data
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of high-accuracy local data with extended spatial information will allow overcoming the limitations of individual methods, providing a more comprehensive view of structural conditions and their evolution
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Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical
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space operations, with a focus on guidance and navigation. The project aims at investigating and developing Hardware-In-the-Loop (HIL)-based methods to assess the functionality performance, and
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for real dynamic scenarios. The program will involve the study of machine learning tools, the development of simulation systems, and the exploration of methods to accelerate simulations in real-world
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the electromagnetic and circuit levels, the use of experimental setups for frequency- and time-domain characterization, and the development of acquisition software and realistic models for the analysis of experimental
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integrates advanced computational methods with scientific data from space missions to improve the realism, accuracy, and reliability of simulation environments in support of space system design and validation