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networks, deep learning or physiological signal analysis. - Minimum of 2 years of accredited professional or research experience in tasks directly related to: AI algorithm development, hardware/software
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: Neural networks and machine learning. Algorithm. Professional Experience: In the use of Python (PyTorch, TensorFlow) and C for the development and optimization of deep learning algorithms. Experience in
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- Simulación en entornos virtuales para el estudio de algoritmos de clasificación de objetos y generación de datasets ------------------ - Implementation of algorithms in embedded processing systems for train
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The Brainlab – Cognitive Neuroscience Research Group (Universitat de Barcelona ) is seeking an outstanding candidate with strong motivation for the neuroscience of music and its impact on early development
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offer a PhD student position at the Universitat de Barcelona (as part of the PhD Program in Mathematics and Computer Science) to develop new AI and federated learning algorithms for diagnostic imaging in
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-------------------------------- - Implementation of algorithms in embedded processing systems, train integrity algorithms in IoT - Programming of embedded systems and HW implementation for IoT in railway applications Where to apply E-mail
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for cooperation and social responsibility, contributing to the sustainable development of the region and to the critical and engaged education of new generations. ViCOROB is a research institute at the
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
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. This work seeks to develop and apply novel technologies based on compact data structures for handling, among other, genomic datasets in large-scale comparative genomic analyses. Compact data structures
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their creation. Functions to be developed: Build a Reinforcement Learning system that supervises and adjusts text generation through inputs and outputs. Develop automatic model selection algorithms