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related field.You are proficient with at least the following languages: Python: Proficiency in machine learning frameworks like TensorFlow or PyTorch. C++: Basic understanding for system-level programming
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, mathematics or a related domain. You have a solid academic track record, at least at the cum laude level. You are interested in both Machine Learning and Symbolic/Logic-based AI methods. You strive
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to share my results to inspire and being inspired by my colleagues.I value being part of a large research group which is well connected to the machine and transportation industry and I am eager to learn how
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-type specific samples, state-of-the-art molecular biology techniques, multimodal data generation and integration, gene regulatory network reconstruction and wide range of machine learning approaches
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research on artificial intelligence, machine learning, and other technological advancements that support the creation of accessible media. Policy and Regulation: Analyzing the impact of existing legislation
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understanding of the main frameworks for Machine or Deep Learning, e.g., Tensorflow/Keras, PyTorch, Theano, and distributed computing for machine learning Documented experiences of study or work, ability to work
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mathematical engineering Good understanding of statistics and machine/deep learning algorithms. Interest in Biomedical data science. Excellent programming skills in Python Proficient English, both oral and
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have some knowledge and/or experience in several of the following topics (ordered by importance): Wireless Communication Technologies Distributed and Embedded Systems Machine Learning Data Analytics and
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inspired by my colleagues. I value being part of a large research group which is well connected to the machine and transportation industry and I am eager to learn how academic research can be linked
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such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Our activities are experimentally driven and supported by the COMMLab