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the other hand, the project will explore the phenomenology at high-energy colliders of such theories, designing and optimizing new search strategies for their associated signals. Where to apply Website https
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and parametric methodologies and models for the assessment and optimization of building performance, as well as for the design of envelope solutions oriented towards comfort, health, and sustainability
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finance, as well as strategy consulting, operation research, optimization, and AI/ML labs. Admission profile Highly qualified and motivated candidates with MSc degrees in Mathematics, Computer Science
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sustainability such as: providing empirical evidence on the drivers of public debt dynamics and defining optimal policies that ensure debt sustainability; investigating individuals’ preferences, willingness to pay
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machine learning models (e.g., VAEs, GANs, transformer-based models) to large-scale biomedical and biological data, including developing and optimizing models to predict disease progression and create
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Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel & Distributed, Computing/Learning Control Systems Optimization Planning and Scheduling Human
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collaborators to optimize analysis workflows and share expertise Supporting experimental biologists by integrating multi-omic analyses to identify optimal targets for functional validation Interpreting results
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from various sources. (ii) Fabrication of bi-functional membrane coatings through dip coating from combustion sol. (iii) Optimization of the coatings’ chemical composition for a better adhesion of the
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significantly change in response to external factors, providing insight into optimal cultivation practices. Bioactivity-Guided Profiling: Integrating metabolomics data with in vitro and ex vivo bioassays (e.g
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Project in EU: DC 1: a-SiC deposition by Hot Wire Chemical Vapor Deposition (HWCVD) - Host institution: CNRS (FR) DC 2: Optimization of a-SiC thin films for photonic applications - Host institution: CNRS