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Field
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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technology with potentially significant impacts on numerous industrial sectors. At Fraunhofer IKS, we engage in a variety of projects aimed at developing robust and reliable applications of quantum computing
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approach may include mathematical modelling, differential equations, dynamic programming, optimal switching theory, classical optimization, numerical solution methods, and programming. You will carry out
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control, as well as machine elements and design optimization. The research rests on theoretical, numerical and experimental investigations of phenomena that are most often highly cross-disciplinary and span
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the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Optimization of data handling processes within the Space Medicine Team The Space Medicine Team (HRE-HM
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results from numerical and machine learning work to support the optimal deployment of the new sensors and their applications. Support field experiments with the new sensing technology in collaboration with
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weather and climate observations, numerical models, and decision support tools focused on atmospheric and land-surface conditions related to extreme events and their impacts. CW3E is an interface between
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unwanted effects from so-called concomitant gradient fields. You will also develop software to facilitate experimental design. This includes numerical optimization of the instructions that control the MRI
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numerical methods and tools to conduct multi-phase flow machine learning and aero-acoustic optimization, publishing high-impact journal papers, presenting research results at various workshops, conferences
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, people experiencing homelessness, people who use substances, and individuals with high psychosocial complexity. As a Hospital Assistant, you will optimize clinic flow and contribute to creating a patient