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security. This project investigates how blockchain analytics and data engineering can enhance the detection of illicit activities across these decentralised and increasingly complex networks. By deploying
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-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a PhD candidate in artificial intelligence and data analytics to analyse vehicle telemetry data
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research record with publications in relevant venues (AI, security, and software engineering conferences/journals) Strong analytical and problem-solving abilities, with capacity to conduct independent
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-cultural and multi-disciplinary research team Very strong organisational and analytical skills Enthusiasm and great commitment to research LanguageRequiremets: Applicants must demonstrate at least B2-level
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vulnerabilities and software testing practices Proven research record with publications in relevant venues (AI, security, and software engineering conferences/journals) Strong analytical and problem-solving
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should possess: Strong analytical skills (quantitative and/or qualitative) Experience with programming tools Excellent communication skills in English; other languages are an asset Ability to work
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should possess: Strong analytical skills (quantitative and/or qualitative) Experience with programming tools Excellent communication skills in English; other languages are an asset Ability to work
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should possess: Strong analytical skills (quantitative and/or qualitative) Experience with programming tools Excellent communication skills in English; other languages are an asset Ability to work
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mechanistic studies of microbiome-mediated pathogenesis. This is achieved by bridging microbiology and big data analytics in a structured doctoral training environment. The need of microbiome research in
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is