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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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Marie Skłodowska-Curie Actions (MSCA) COFUND doctoral programme INNOCHEMBIO (https://taltech.ee/en/innochembio), which is co-funded by the European Union (Grant agreement 101217295), offers 15 PhD
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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computer science and information system engineering while collaborating in a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and build a robust anonymization