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the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
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. The applicant should be well versed in structured programming, in the maintenance of numerical codes and in the training of new users, such as graduate students. A proven track record of collaborative
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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Qualifications & Skills: - Academic background in analytical chemistry, chemistry, food chemistry, or chemical engineering - Strong experience with GC-MS, preferably in food or biological sample analysis
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the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering and professor Raed Hashaikeh, Professor of Mechanical Engineering. The successful
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incubation and start-up ecosystems. Description of ACER-CoE: The Centre was established to address enduring process challenges in Chemistry and Engineering disciplines and create an environment
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, or multi-modal learning that integrates structured EHR and biomarker data. The fellow will have access to curated oncology datasets, high-performance computing infrastructure, and mentorship from a cross