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for molecular magnetic materials lags behind these experimental breakthroughs. DFT fails to capture strong correlation, while wave function-based methods are computationally prohibitive for strongly-correlated
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clusters and dielectric nanoparticles from molecular beams to levitated optomechanics. We work on novel tools for quantum sensing, mass spectrometry and biomolecular chemistry. Our team is member of
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. The objective is to produce an integrated approach in which computational methods become capable of formalizing forms of reasoning specific to the practices of historians and archaeologists. The first component
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validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with academic and industrial partners. In particular, you will
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of visual learning theory, the PhD student will develop methods for understandable latent representations and implicit neural models. For further details, see the ELLIIT project Learning Geometric
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of the Scientific Research Grant Holder, approved by Law No. 40/2004, of August 18, in its current wording; FCT, I.P. Research Grant Regulations, in force (https://www.fct.pt/wp-content/uploads/2026/01
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for downstream applications such as mapping, simulation, analyses and other related uses. This PhD investigates methods to transform raw 3D data into structured scene representations that integrate
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Sustainability 2. Methods, Models and Technologies for Engineering 3. Educational models and contexts: Sport, Inclusion, and Technology 4. Public administration and enterprises for innovation and local development
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Job related to staff position within a Research Infrastructure? No Offer Description This PhD project investigates methods to improve the robustness and compliance of multi-modal AI systems
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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT