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and the human psyche, education and upbringing, communication, society and culture. The faculty provides education to 6,000 students and employs 700 staff. Education is organised into six programme
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, under the supervision of Dr. ir. Raffaele Sommese, Dr. Antonia Affinito, and Prof. Dr. Anna Sperotto. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
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and master programme) was English, or; – scoring at least 100 on the TOEFL iBT test or 7.5 on the IELTS test. Two (academic) reference letters, , preferably from a thesis supervisor or research project
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, disability, LGBTQ+ identities, family and caring responsibilities, age, or religion. We encourage everyone who shares these values to apply. About the organisation The Faculty of Geo-Information Science and
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program: North Sea Renewable Energy: Gaining the Required Ecological Knowledge for the Transition, which studies the ecological and socio-economic impacts of large-scale offshore windfarms in the North Sea
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student Stories from UT employees Job alert About UT Campus Research institutes Strategy and culture Twente...
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at the Tinbergen Institute. - Education tasks (comparatively low loads): teaching and thesis supervision, mostly within the Bachelor Programme Economics and Business Economics, including (applied) econometrics
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Key takeaways Minimally invasive interventions increasingly require tools capable of sensing, actuation, and manipulation at sub-millimetre scales. Micro-robotic systems enable highly miniaturized devices that can operate in confined anatomical environments and interact with biological tissue...
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electrochemical and redox flow battery systems. The PhD candidate is part of a larger project, called “Redox Blend” with other universities and companies, within the National Growth Fund program Circular Batteries
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research programme consists of 15 PhD projects which will contribute to the development of innovative methodologies, tools and design strategies that make AM a reliable, scalable and economically viable