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the Luxembourg Minister of Foreign and European Affairs, the project PSYBER - Assessing Cybersecurity Preparedness will be executed closely with Prof. Marcus Völp (Robustness and Resilience in Computing), Prof
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field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with
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position as a senior researcher if given a positive academic assessment at the end of the tenure track process. The position aims to develop new approaches, methods, databases and tools to assess and
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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Women's Tech Entrepreneurship - A Mixed-Methods Analysis of Ireland's Innovation Ecosystem Supervisory Team: Dr Marie Ryan, Dr Huanhuan Xiong, Prof. Eleanor Doyle Impact of technology on economic and non
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-family-and-culture/ For further information, please contact Prof. Dr. Anna Kornadt (). Your profile Master's Degree (or equivalent) in Psychology or a related field Profound interest in the psychology
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datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference
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and Royal Berkshire NHS Foundation Trust, aiming to advance AI methods to improve inflammatory treatment management in the real world. It is the first-of-its-type AI research in the rheumatology
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collaboration with the Inhibitory Receptor lab meaning that the project will involve working closely with people in both labs. Good informal and formal research communication are therefore essential for a
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Networks, and ICT Services & Applications. Your role The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en/research-groups/CRITIX/ ) headed by Prof. Marcus Völp. The team