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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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-funded project. You will be part of an interdisciplinary team bridging the gap between machine learning and materials science to develop next-generation computing hardware based on nanoscale magnetic
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. You will be part of an interdisciplinary team bridging the gap between machine learning and materials science to develop next-generation computing hardware based on nanoscale magnetic systems
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once a suitable candidate is selected. Are you interested in developing machine-learning methods for protein design and applying them to a new class of materials-manufacturing problem? The Research
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Job Posting Title: R&D Data Analysis and Machine Learning Software Engineer (Engineering Scientist Associate) ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All
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. Irregular and multidirectional wave fields will be considered, together with full quadratic transfer functions (QTFs), wave forces and platform motions. Machine-learning and other data-driven techniques may
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19.08.2026 Application deadline : 15.11.2026 The Tübingen AI Center invites applications for two tenured full professorships (W3) in Machine Learning and Intelligent Systems (m/w/d), to start as
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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We are seeking a highly motivated and experienced Machine Learning Engineer to develop advanced machine learning (ML), deep learning (DL), and foundational AI models for medical imaging. This role
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow, Machine Learning Department Cooper Laboratory | Department of Orthopaedics | Faculty of Medicine (Anthony Cooper