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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
of enrollment at a PhD which must be presented at the time of contract signature; v) motivation letter; Applications must be submitted at https://welcome.isr.tecnico.ulisboa.pt/opportunities/ Where to apply
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referencia. Habilidades de programación en Python y plataformas de aprendizaje profundo como PyTorch. Habilidades de comunicación oral y escrita en inglés. PhD degree in computer science, electrical
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in its excellent research capabilities in areas including automotive mechanical and electrical design, data management, life cycle sustainability management through technology and materials innovation
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. Eligibility criteria We are looking for a highly motivated PhD candidate who meets the following profile: Candidates must hold a Master’s degree in electrical or computer engineering (or a closely related field
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for the university and funding agencies. Job Requirements: PhD qualification degree in Computer, Electrical or Electronic Engineering or related field At least 3 years of relevant research experience in AI security
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://eng.ed.ac.uk/studying/degrees/postgraduate-research/phd/integrated-unde… Requirements Research FieldEngineering » Electronic engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications See: https
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integrated onto drone platforms engineered by project partners, with the objective of assessing the structural integrity of concrete façades. Objectives The objective of this PhD thesis is to develop a Machine
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Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering
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Reflectometry The aim of the PhD project is to provide machine learning (ML) based neutron reflectometry (NR) analysis as an automatized workflow for the reflectometry instruments at the Institut Laue-Langevin