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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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colleagues from a number of disciplinary backgrounds including: Software Engineering, Human-Computer Interaction, Interaction Design, Applied Psychology, Sociotechnical Systems, Information Systems, and Public
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bioinformatics, including database set up and integrative analysis/machine learning. The appointee will participate in a project that features collaborations with immunologists, cell biologists, microbiologists
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research project will employ sensing technologies, largescale Information Communications Technologies (ICT) datasets, artificial intelligence, machine learning and statistical methods to quantify urban
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following areas will be desirable: polymer/lipid synthesis, organic synthesis, RNA delivery, data-driven material design (Quality by design, design of experiments, machine learning), controlled radical
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synthesis, RNA delivery, data-driven material design (Quality by design, design of experiments, machine learning), controlled radical polymerization, bioconjugation, nanoparticle formulation and