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workflows for infectious disease surveillance and outbreak analysis. AI methods that support scientists and public health users while preserving data control, transparency, and responsible use. The successful
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through a system, and using them to make AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something
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of innovative teaching methods, documented through a teaching portfolio native or near-native command of French. Furthermore, it will be considered an advantage if applicants can document: a track record of
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for teaching and research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching
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are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student
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period of two years of appointment. You will be assessed against the responsibilities and qualifications stated above and the following general criteria: Research experience Experience and quality
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or soon thereafter. The positions are available for a period of 1 ½ to 2 years. Who are we? CNAP strives to identify and modulate key features of human pain neuroplasticity and understand its relevance
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between genetics, geology and archaeology. Our research aims are to improve current methodologies within ancient genomics by optimizing protocols and develop novel, fast computational and statistical tools