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- PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) Missione 4 - Componente 2 - Investimento 1.3 - “Partenariati estesi alle università, ai centri di ricerca, alle aziende per il finanziamento di progetti di ricerca di base” - Finanziato dall’Unione europea –
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Department: School of Electronic Engineering & Computer Science Salary: £49,785 - £58,595 per annum (Lecturer) £61,896-£69,114 per annum (Senior Lecturer) (Grade 5) Reference: 2035 Location: Mile
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experience in one of the following disciplines: climate finance, business and economics, engineering, transport or energy studies. Candidates should have a strong research background, which includes social
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, engineering and development studies. The candidate will have a rigorous methodological training in mixed methods and will be able to collect and use different types of evidence to inform research and business
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to safeguarding their information and technological assets. IT Services have set up a Women in Technology network to encourage collaboration with cross-functional teams to support the professional development
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processes by providing information- and technology-related services to over 50,000 staff and students of UCL and associated institutions. Our goal is to be the leading IT services group in the HE sector and
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processes by providing information- and technology-related services to over 50,000 staff and students of UCL and associated institutions. Our ambition is to be the leading IT services group in the HE sector
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Engineering at Queen Mary. If you believe that you have the skills and experiences that we are looking for, we would very much like to hear from you. About the School Ranked joint 7th in the UK for the quality
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company that aims to unite science, technology, and talent to get ahead of disease together. GSK undertakes research and development in a broad range of innovative products in the primary areas
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key enabling part of the new structure. The post holder of this position will deliver and manage the day to day running of multiple construction and engineering-based projects though the entire project
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computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills