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): advanced training in control techniques and digital control to be applied in the Digital Twin models and to follow the PhD courses from UNIPD for the Joint Degree. Where to apply E-mail gestion.etsii.ceimm
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, advanced packaging, backside power delivery networks, and chiplet-based architectures require new methodologies to model and optimize system behaviour beyond the traditional chip boundary. You will develop
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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, stakeholder reporting, case-based analysis, and data modeling to support business evaluation, strategy validation, and financial impact. LanguagesENGLISHLevelExcellent Research FieldEconomics Additional
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
-informed learning techniques; Development of simulation-based optimisation methodologies, including Bayesian optimisation, derivative-free optimisation, multi-objective optimisation, model calibration, and
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mechanisms, and distinguish cells that prevent productive infection from those that become infected but survive or delay killing. The post is based in Central Cambridge, UK. The successful applicant will
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samples from patients with multiple sclerosis and experimental mouse models. Conduct molecular and cellular biology experiments, including nucleic acid extraction, qPCR, chromatin profiling and
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for evaluating device performance. Develop suitable experimental interfaces between microfabricated devices and electronic measurement equipment, including probes, test fixtures, PCB-based interfaces or equivalent
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experimental models to improve our understanding of EBV-driven mechanisms involved in multiple sclerosis. Main responsibilities and duties: Perform the phenotypic and molecular characterisation of EBV-infected B
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-fidelity modeling approaches combining simulations of different fidelity levels, ranging from RANS calculations to high-fidelity LES, possibly associated with various levels of geometric or physical