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innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Data and Computing Technician to build and
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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Solution (one of the university’s most utilised data products) and leading the development of Thematic Analysis tools and Machine Learning models, this role delivers insights to highly engaged academics
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. This includes the use of Machine Learning (ML) and Artificial Intelligence (AI) methods. Project description The PhD project will be focused on developing, assessing, and comparing traditional and modern ML and
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
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18 Sep 2026 Job Information Organisation/Company UNIMORE Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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such as Python and/or R, with experience analyzing large-scale molecular, clinical, or biomedical datasets. Experience developing or applying machine learning, statistical modeling, or artificial