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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
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the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with
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global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra
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consortium. CHERMID is a multidisciplinary research centre conducting methodological and applied research on the economics of public health, mainly vaccination and mathematical modelling. VAXINFECTIO
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applied research on the economics of public health, mainly vaccination and mathematical modelling. VAXINFECTIO, including CHERMID, is involved in several European Commission funded projects and is
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, Gravitational Waves , Gravity , Hadron Physics , Hadron Physics, String Theory, Mathematical Physics, Cosmology, Gravity, Theoretical Astrophysics, Experimental Astrophysics, Astroparticle Physics , Hard
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will pioneer mathematical frameworks for multimodal integration, advance video transformer architectures for temporal-spatial dynamics, and develop few-shot learning methodologies for ultra-low-resource
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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, Elementary Particle Theory , Field Theory , hep , hep-lat , hep-ph , hep-th , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , Lattice Field Theory , Lattice QCD
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class Bachelor’s degree, or a Master’s degree with merit or distinction, in Mathematics, Statistics, Computer Science, or a related quantitative discipline. International qualifications of an equivalent