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, including physics-informed neural networks, neural operators, hybrid physics-ML approaches, and emerging foundation-model paradigms for scientific data. Scientific machine learning is increasingly important
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these processes by coordinating the dynamics of microtubules and actin network within the axonal growth cone. More recently, our work has revealed that NAV1 also regulates cell adhesion dynamics during the directed
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predict interaction effects. Unlike robot-specific neural network models, the proposed approach aims to learn a universal representation of local interactions (fluid-structure, robot-robot, robot-object
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customisation, and industry-cluster networks produce sustainable employment outcomes, with a particular focus on autistic jobseekers and employees. The project is structured as a thesis by publication
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computational fluid dynamics (CFD) simulations of blood flow through arteries and develop a cutting-edge super-resolution framework using convolutional neural networks (CNNs). The ultimate goal is to vastly
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transitions to error-correction thresholds and emergent fault tolerance Exchange with national and international project partners within the quantum networks of Jülich and Cologne Present your research results
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://fses.uniba.sk/en/studies/admission-procedure/phd-studies/ Requirements Research FieldEconomicsEducation LevelMaster Degree or equivalent Additional Information Benefits Full monthly stipend of €1,174.50 (net
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graphs and network medicine • Translational data science for therapeutic discovery Primary Responsibilities: The Postdoctoral Research Associate is expected to lead and contribute to independent and
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organizes social activities, networking and upskilling events, and an annual PhD Symposium. Curious to know more? Learn all about what it means to start a PhD at VIB in our PhD Guidebook , written
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
of biochemical networks within the cellular environment. The IMPRS-LM offers a unique, internationally recognized PhD training program designed to equip students with the interdisciplinary expertise needed