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professional development opportunities and strive to meet each individual’s development and well-being goals as much as possible. As an associate researcher with expertise in the field of machine learning within
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, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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Engineering Operations Research Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview Susquehanna is expanding the Machine Learning group and
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impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and
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project „Displacement and (Post)secular Memory: Contemporary Crises and Historical Legacies in Southeastern and East-Central Europe (MEMCRIS) supported by funding from the NCN (Poland) and GA ČR (Czech
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that can be used for novel memory components; Circuit technology developed for quantum computing. The long-term goal of the project is to develop nanophotonic on-chip devices for integrated sensing and
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laser-based processes to various materials and in particular, shape memory alloys. Preferred Qualifications: Ph.D. in Mechanical Engineering, Materials Science, or a related field. Ability to conduct
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 20 days ago
, desert ants rely on path integration and memory, dung beetles orient with celestial cues, and flies navigate local environments with impressive precision. Despite this diversity, these behaviors rely on a