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degree (or equivalent) in AI & Cyber Security, or a closely related discipline such as Mathematics, Computing, Data Science, or Machine Learning PhD at or near completion (strictly within three months
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diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation, evidence-based policymaking, science-policy communication, and policy brief writing
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possible renewals, a cumulative period of four years of research fellowship intended for doctoral students. Preferential factors: Research experience in the areas of Bioinformatics and Machine Learning
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that are only partially met by the development of special purpose classical computing units. This has motivated a recent interest in using quantum computing to machine learning tasks, in particular to clustering
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metal dichalcogenides are promising platforms for next-generation quantum and electronic devices, where atomic defects play a crucial role in determining functionality. This project develops a machine
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and construction techniques. Instruct on the correct and safe use of hand and machine tools Assume responsibility to ensure that University, School and Design Unit guidelines on safety are adhered
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school’s lead specialist for Computer Aided Design (CAD), digital design standards and prototyping support. The CAD Specialist (Design, Prototyping & Teaching Support) would provide institution wide
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the numerical modelling of thermal phenomena, with particular emphasis on solidification processes. d) Knowledge on machine learning methods or data-driven modelling approaches applied to materials science or
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programming in C (on microcontrollers and embedded Linux); ii. Machine learning on the Edge. Priority will be given to candidates enrolled in a Master Program related to Embedded Systems or related fields
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in processing and analysis of medical images, especially thoracic computed tomography (CT) studies. Knowledge of artificial intelligence, machine learning or deep learning applied to biomedical