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-order spreading” and 2.3 “Higher-order evolutionary processes”), aims to develop theoretical and computational models for the study of dynamical processes on networks with higher-order interactions. By
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of the introduction of artificial intelligence systems in the labour market and, in particular, in outsourcing procedures. The objective is to examine the adaptability and evolutionary prospects of
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the CoMPaSS-NMD project using the innovative classification algorithm of gene variants named GORDIAN SCORE. The project aims at studying the genomes of individuals with neuromuscular disorders to
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focuses on three main points: 1. Global analysis of the pre-symplectic algorithm for the Palatini formulation of Einstein's equations; 2. Geometric characterization of gauge symmetries as the kernel of the
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KIAS in the relevant research fields: â¡ Computational Sciences o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o AI-Driven
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Language Theory, Algorithm Theory, Combinatorics, Optimization Theory, and Homomorphic Encryption. (3) Cosmology and Partide Physics with AI: High Energy Physics and Cosmology. (4) Condensed / Living
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validated using Hybridization Chain Reaction in situ hybridization (HCR-ISH) and immunohistochemistry (IHC). Finally, the candidate will investigate the evolutionary origins of the echinoderm brain–gut
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, Applied Mathematics, or a closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to
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Università di Padova, Dipartimento di Medicina Animale Produzioni e Salute - MAPS | Padova, Veneto | Italy | about 2 months ago
nucleotide sequencing. The obtained sequences will be analyzed through phylogenetic studies to evaluate the spread of viral variants, their evolutionary dynamics, and possible correlations with