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Field
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to evaluate and advance machine learning algorithms for one of the following application areas: “Characterising forests variations in relation to distance from pre-Columbian earthworks in the Amazon forest
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, but for example: University of Ulm (Germany): Algorithms for wearable data analysis University of Manchester (UK): Mathematical modeling of hormone rhythms Qualifications and personal qualities: We
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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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7 Jul 2026 Job Information Organisation/Company University of Bayreuth Department Evolutionary Animal Ecology Research Field Biological sciences Researcher Profile First Stage Researcher (R1
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experimentation. The PhD student will develop models and algorithms for the joint design of sensing, communication, inference, and action, and is expected to contribute to a real robotic platform integrating
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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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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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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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algorithms and techniques at the MAC layer for fast anomaly detection, failure prediction, autonomous recovery, and performance resilience. Service-aware MAC layer techniques – develop novel MAC-layer
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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