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Field
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algorithms, validated in real-time simulations and experimentally in collaboration with industry. The project: This project looks at the development of electromechanical friction wheel braking (EMB) systems
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
the application of various ML algorithms, including supervised algorithms for environmental predictions, as well as unsupervised algorithms for clustering and LLMs/Transformers Experience with sequence data
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an interdisciplinary team that works on cutting-edge questions ranging from mathematics and theoretical physics all the way to numerical simulation algorithms? Then apply now to join our team of researchers in
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cryptographic implementation, demonstrated through previous projects on software and/or hardware implementation of cryptographic algorithms (not restricted to symmetric-key algorithms). For direction 2, it is
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of an algorithm to analyse discharge signals, building a secure dataset for new tool–workpiece material combinations enabling process-integrated antibacterial coatings, derivation of data-based strategies to reduce
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of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings. As part of the position, you will be expected to collaborate with other researchers
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algorithms. Vision Language Model (VLM) experience is desirable. Qualifications A high-grade undergraduate degree (first class or upper second) in computer science or MSc in related field. Skills Knowledge
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- Geometry, Learning, Information and Algorithms - Speech and Cognition The Gipsa-lab comprises 150 permanent staff and approximately 250 non-permanent staff (doctoral students, post-doctoral researchers
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count, area distribution, inter-cluster distance) to cellular Potts model (CPM) simulations of spheroid growth and drug responses. Integrating multi-modal data streams, such as live-cell imaging, bulk and
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machine learning algorithms and techniques to materials science problems, including supervised and unsupervised learning, deep learning, and reinforcement learning; Experience with data preprocessing, model