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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
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or spike correlation patterns limited to local neural circuits or span across brain regions? Set up a network model to reproduce the main results and provide potential neuronal mechanisms. Existing