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to adapt to an evolving environment and to work in teams, both as the leader or as a member In addition, it would be desirable if you had: Experience with design and development of distributed computing
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distributed tasks such as inspection of a big geographic area for fires is an important objective of this project. The project aims are to: 1) provide methodological contributions towards intelligent sensing
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), postdoctoral researchers (i.e., scholars who are currently in a postdoc position in a business school), and tenure-track faculty members. The position is tenable from 1 September 2026 or at a different date by
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will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer
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opportunity to work on a cuttingedge clinically relevant platform learning from, and training, a highly dynamic and collaborative team of PhD students, Clinical Fellows, Postdocs, Scientific Officers and
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leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
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, applying and validating your algorithms through laboratory experiments. A PhD in Chemistry, Biology, Computer Science, or related fields with a focus on protein engineering. Proficiency in Python programming
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the Paradoxical Aspects of Measurement in Quantum Systems". This project leverages foundations to pave the way for the novel quantum protocols, algorithms, and technologies of the future. You will work closely with
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EDGE Create a library of promotional materials to distribute to potential licensees Contribute to, and lead, the dissemination of results from the project. Contribute to identifying business
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. These studies will include detailed characterisation of molecular weight distributions, degree of crosslinking, thermal-mechanical modelling and microstructural features that influence electrical performance