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team demonstrated, for example, that complex networks, such as epidemics or traffic networks, often follow mathematical patterns that repeat on different scales. He also developed the first approach to a
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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
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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
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of activation. This project aims to close this gap by developing methods to identify malicious domains closer to their inception, as soon as indicators of compromise surface. Building on our prior work using
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of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
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the nanoregime. It is our mission to excel in the field of nanoelectronics through the development of novel (concepts for) electronic devices and systems with nanoscale dimensions for application in future
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the Section side. Duties Your tasks and responsibilities as a TEC-SYA team member will include: providing expert technical support and consultancy to ESA projects, programmes and general studies with respect
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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
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1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD position 2 will focus on designing scalable
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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