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Field
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techniques along with machine learning–enhanced strategies for simulating coupled interactions in complex living systems. Project details: 1)“NEw generation MEthods for numerical SImulationS – NEMESIS”, Grant
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of statistical and probabilistic methods for the analysis of complex data and systems. Research topics include distributional modelling, stochastic dependence, extreme-value phenomena, uncertainty quantification
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complex environments. Additional responsibilities will include the analysis of computational results, the validation of computational protocols, and support for the scientific activities of the research
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based on Artificial Intelligence, Machine Learning and Data Science for the modelling, analysis and interpretation of complex biomedical systems. Research activities will include the design and validation
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artifacts is a plus. This enables understanding the construction phases, clients, contractors, and the various restorations, with particular reference to the architectural complexes of Santa Maria in
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10 Jul 2026 Job Information Organisation/Company Università del Salento Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 5 Aug 2026 - 23:59 (UTC) Country Italy Type of...
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to develop algorithms, metrics, efficient software and visualization tools for the analysis of complex systems with higher-order interactions. The activity will focus on scalable computational methods
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Job related to staff position within a Research Infrastructure? No Offer Description The design process of complex systems must guarantee not only the functional correctness of the implemented system
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to complex differential problems. Particular attention will also be devoted to the optimization algorithms required for training these physics-informed machine and surrogate models. Project funded by Ministero
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the contract will be bound, as well as collaboration in the teaching and third mission activities of the Faculty. In particular, the project sits at the intersection of XAI (Explainable AI) and complex systems