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Field
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background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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, and similar equipment. Proficiency in Python programming including ability to install and use spiking neural network simulators such as SNNTorch, NEST, Nengo, etc. Experience with semiconductor memory
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University of Split, Faculty of civil engineering, architecture and geodesy | Croatia | 3 months ago
in karst using hierarchical Bayesian physical neural networks'' for a fixed period of time (maximum two years) for the duration of the project at the SARLU or Hydrotechnical Engineering. Where to apply
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of multi‑radio systems, interference management, and energy‑efficient network design. Familiarity with machine learning applications in communications, including neural networks and federated learning
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to modulate physiology and neural activity in the brain, gastrointestinal (GI) tract, and other peripheral organs. These projects have a high potential for translation towards treating a variety of neurologic
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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‑State‑gated, Retro‑Orbital AAVs to Tag & Control Neural Ensembles, an interdisciplinary project jointly led by Stefanos Stagkourakis and William Nyberg and supported by the KI research incubator program
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, and observational measures, to assess bilingual infants’ dual language development during the first two years of life. The studies will target three core components: (1) neural maturation, (2