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Field
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Your Job: Operando X-ray investigations of energy materials, with a focus on chemical hydrogen storage Design, development, and optimization of advanced sample environments and reactors for high
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knowledge. The focus of the project can be defined in collaboration with the supervisor, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory
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the RNA & Gene Regulation Laboratory coordinated by Maria Carmo-Fonseca, under the research project “Novo Nordisk Foundation Center for Optimized Oligo Escape and Control of Disease” (NNF23OC0081287
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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map
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requirements: A PhD degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Solid knowledge of fluid mechanics, computational fluid dynamics (CFD), and optimization using
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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to an ongoing project on the design and manufacturing of adaptive winglets using Shape Memory Alloys (SMAs) for aerospace applications. These smart winglets are designed to optimize aerodynamic performance by
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theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation