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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 2 months ago
simulations with data-driven machine learning approaches. By incorporating PINNs and vPINNs, the aim is to create robust numerical tools capable of simulating and predicting structural phenomena under different
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management structures, workflow documentation, SOPs, and digital tools that enhance programme quality and coordination Research translation and impact Contribute to academic publications, technical reports
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University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing crisscross DNA micron-scale structures for applications in optical computing. In
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conditions is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and oral English skills
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production via E. coli, including cloning and purification Experience in functional enzyme characterisation - chromatography, electrophoresis, activity assays, binding assays, etc. Experience in structural
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biology, structural biology and chemical genetic approaches, we have elucidated fundamental mechanisms underlying autophagosome formation. Our laboratory has elaborated a novel mode of action for virulent
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, potentially including methods such as structural equation modelling Write at least 4 scientific articles as first author Communicate results in various national and international scientific journals and popular
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solutions focused on urban mobility solutions: - State-of-the-art development of bike-sharing systems; - Search for design and mechanical construction solutions; - Definition of requirements and
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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multidisciplinary mix of workshop participants, Experience in developing a framework of change for which structural and interpersonal determinants should be core intervention targets in social prescribing and