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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center for Interdisciplinary Data Science and Artificial Intelligence
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to enroll in a PhD program Preference will be given to candidates with knowledge and skills in the following areas: machine learning and neural networks, including LSTMs and explainable artificial
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management techniques, IoT-based vehicular monitoring systems, and SDV architectures. Explore recent advancements in neural networks, reinforcement learning, and predictive modeling techniques for power
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of responses to images and model these representations with AI models (deep neural networks (including topographical), multimodal models, Large Language Models), 2) define and model dimensions related
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image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is essential. Specific
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: Developing state-of-the-art neural networks to accelerate the development of formulations in the pharmaceutical sector. Collaborating on the implementation of these techniques within a company. Contributing to
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conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems