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automotive networks Explore and implement reinforcement learning algorithms for secure, real-time traffic scheduling and flow reconfiguration Conduct testbed-based evaluations using automotive-grade hardware
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-body positron emission tomography (PET) with magnetic resonance imaging (MRI). In conjunction with the development of algorithms, dedicated software and hardware-based simulations will be developed
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and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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& Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
package development) and command line-based analysis tools (e.g. Python) • Knowledge with public sequence databases, error correction algorithms • Scientific experience in immunology, molecular and cell
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
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are particularly interested in candidates working on quantum error correction, algorithms, simulation and qubit architectures. We are also interested in outstanding scientists in theoretical quantum computing in a
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
information. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
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related field. The ideal candidate should have knowledge and/or experience in one or several of the following areas: Artificial Intelligence/Machine Learning algorithms and architectures Cybersecurity