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Application Deadline 30 Mar 2026 - 23:59 (Africa/Abidjan) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in optimization, image-guided radiotherapy, medical imaging, or computational modeling. Experience with treatment
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Sign In Create Profile Lead Program Coordinator, Medicine Clerkship Tucson, AZ, United States | req25488 Apply Now Share Save Job Posted on: 3/20/2026 Back to Search Lead Program Coordinator
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The global energy
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maintain scalable Azure ML compute clusters with autoscaling, monitoring, and resource optimization to support high-performance ML training and inference. Build automated ML training job scheduling
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
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simulation and optimization of PDE-based problems involving uncertainties or stochastic components. We are looking for an internationally recognized individual who is a leader in the field of Numerical
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quality to ensure imaging equipment is operating at optimal performance levels, and provide consultation to clients regarding facility design, shielding requirements, assessment of supplemental shielding
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas