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look forward to receiving your application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with
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application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with focus on image processing and restoration
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Hyperdimensional computing (also known as vector symbolic architectures) Fundamental methods in machine learning Information This is a full-time 6 months position with the possibility of extension up to one year
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, or computer science. Documented experience in professional software development. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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phenotypes, based on both statistics/machine learning and computational mechanistic modelling. The group specializes in analysing complex OMICs datasets (e.g., transcriptomics, proteomics, microbiota
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new machine learning methods for multimodal data and
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experience with Python Knowledge of energy systems analysis and modelling, AI and machine learning for data analysis. Experience with the modelling tool OSeMOSYS for energy and CLEWs application Awareness
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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integrated part of both centres, with focus on new methods for analysing and modelling molecular data, cellular mechanisms and clinical phenotypes, based on both statistics/machine learning and computational