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the field of Automated Reasoning for Quantum Knowledge. Position You will assist in ongoing research projects in classical representation and reasoning of quantum knowledge You will help coordinate project
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interdisciplinary field of cyber risk modelling and prediction. The project is conducted in close collaboration with the Faculty of Military Sciences and the Joint Sigint Cyber Unit, and is embedded within
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training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria
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, and conservation biology, collaborating with world-class researchers while working with some of the largest genomic datasets (e.g. Vertebrate Genomes Project, California Genomes Project) ever assembled
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Post-Doctoral Research Visit F/M Postdoctoral position in web security, privacy, and online tracking
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days agoto better protect users. The postdoctoral student will help investigate this subject as part of the PEPR Cybersecurity REV project. We are seeking a highly motivated postdoctoral researcher to explore
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biosynthesis by studying the involved enzymes mechanistically and structurally. These enzymes will be systematically exploited and engineered in cooperation with project partners focusing on the synthetic
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(negotiable) Duration: 1 year Salary: According to McGill research assistant pay scales Deadline: Open until filled. ________________________________________ Project Description The project to which
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to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals
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pollution and greenhouse gas emissions. The successful candidate will contribute to an ongoing project assessing the biological nitrification inhibition (BNI) potential of metabolites across the plant kingdom
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department. The project aims to advance predictive modeling frameworks for structural architected materials that exhibit complex instability and bifurcation phenomena. The research will involve close