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Field
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for an Artificial Intelligence and Machine Learning (AI/ML) scientist to develop advanced computer vision workflows to support the identification of biomolecules in cryo-electron tomography (cryo-ET) image volumes
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the internal computations and circuits within large models. Can we reverse-engineer the "algorithms" that a neural network has learned? Value Alignment & AI Ethics: How do we formally define and embed complex
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digital solutions and sustainability services Design, implement, and optimize a data pipeline that processes EL images. Develop and integrate algorithms for image correction, stitching, and exposure
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healthcare program this is an excellent opportunity for you. Are looking for a hybrid schedule, state benefits, and meaningful work? Come join our team. GENERAL SUMMARY OF POSITION: Under the general
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks: Participation in research
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such as quantisation and sampling are often ignored during the verification of AI models. Yet, they are pervasive phenomena in any engineering application where digital compute platforms interact with
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on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s
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openness to interdisciplinary collaborations Expertise in some area of computer science such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory