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Field
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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-luminosity phase of the LHC. The successful candidate will work in close collaboration with other members of the Particle Physics team, and with members of the Computing, Algorithms and Data team at L2IT
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Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues. Solid background in one or more of the following: Query processing
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, and associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project
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, computer science, and optimization (including machine learning) are welcome, preferably with experience in algorithmic game theory, decision theory, computational social choice, social welfare, and fairness
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invites applications for a Post-Doctoral Associate position, in the area of Quantum Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects
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Lawrence Berkeley National Lab’s (Berkeley Lab) Applied Math and Computational Research Division (AMCR) has an opening in the QuIST (Quantum Information Science and Technology) Group for a Post
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law. The lab places a particular emphasis on creating synergies between these disciplinary approaches and connecting them with computer science perspectives and insights. Research could for example
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projects. Hands-on experience with state-of-the-art experiments on contemporary quantum hardware platforms. Experience with numerical algorithms (e.g., tensor networks) for simulating quantum computer
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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems