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innovation cluster by supporting cutting-edge research and promoting transfer of knowledge into new diagnostics and therapeutics. Within the Alliance, we are building the “Health + Life Science Alliance Data
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University degree in data science, computer science, information science, computational ecology, statistics, or equivalent Competence in Python, R or other relevant programming languages (knowledge of LabView
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the areas of ‘Process Sensors and Systems Engineering’, ‘Material Analytics’ and ‘Computational Methods’. With our expertise in data science, modelling and systems engineering, we develop tailor-made
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Join an interdisciplinary team that brings state-of-the-art AI
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in computer science very good knowledge of Python and the ability to familiarise yourself with and contribute to existing development activities prior knowledge of data mining, natural
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flows using LLM technologies Contribution to continuing education topics on model and data integration What you bring to the table Studies in computer science, business informatics, data science
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on multi-view sensor perspectives of the “First Mile” test field validation of the developed algorithms and execution of tests on the test bed “Erste Meile” What you bring to the table student in Computer or
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: A completed university degree (Master’s or equivalent) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The research group "Interactive and Cognitive Systems" investigates artificial and
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07.08.2025 Application deadline: 30.09.2025 The Department of Mathematics of the Faculty of Science at Tübingen University invites applications for the position of Assistant Professor (W1, non