10 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs at Nature Careers in Belgium
-
, or computational approaches is desirable. An interest in topics such as startup dynamics, technology adoption, or the broader implications of digital transformation for entrepreneurship is of particular relevance
-
should hold an MSc degree (or equivalent) in Engineering, Physics, Computer Science, Electrical Engineering, or Quantum Technologies, preferably with a focus on quantum communications or quantum
-
(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
-
competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise in trustworthy and sovereign AI, demonstrated through
-
reviewed scientific publications Your profile Master in Computer Science. Major in machine learning or software engineering is an asset. Strong programming skills. Strong analytical skills. Industry
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
for standardised threat intelligence sharing Participate in project reporting, dissemination of results, and meetings with our project partner Your profile A Master's degree in Computer Science/Engineering or a
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
, and technology-is a strong asset The successful candidate must commit to lecturing banking law, as well as related topics in financial and commercial law, at bachelor and master levels. The successful
-
undergraduate and/or master's levels. This may include, for example, core contributions to courses in applied econometrics, machine learning, computational economics, and big data analytics. In line with the