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Field
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algorithms, models, and techniques. - Perform rigorous benchmarking and evaluation of the developed models. - Optimize algorithms for efficiency and scalability. Collaboration & Mentorship - Work closely with
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 11 days ago
recognition capability. WG4 may develop new measurement approaches and signal processing techniques, as well as algorithms and programs for device control and for reading and reconstructing object and image
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. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will
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-scale data sets, especially using performant algorithms. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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the scientific IT of the Tectonics and Sedimentary Systems departments • Supporting team members with technical problems • Creation and maintenance of internal databases, including data backups, BSc/MSc/PhD and
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math, with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation