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network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing
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methods for their bottlenecks, these steps will then be replaced or supplemented with ML-based surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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Python and C++, with solid experience in scientific computing and software development; familiarity with Linux environments Excellent collaboration and communication skills and enjoyment of working in
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network of scientists and clinicians, both locally and internationally. The position also offers early mentorship and guidance in academic research, with a strong record of RAs progressing to top-tier
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trabajo - Nivel de ingles avanzado escrito y hablado. - Se valorarán estudios de postgrados relacionados con Sistemas Distribuidos -Degree in Software Engineering - Experience in network development and
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: transformative research, exceptional education and a global enterprise network. We activate our strengths and bold ideas to address some of the challenges of our time - Climate Change, Thriving Communities, and
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(Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills You enjoy working within a diverse team in an international and interdisciplinary environment Very good
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? Set up a network model to reproduce the main results and provide potential neuronal mechanisms. Existing recordings with optogenetic inactivation could be leveraged to causally verify or reject important