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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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close to completion of, a PhD/DPhil in molecular and cellular neuroscience, or equivalent • Knowledge of the cell and molecular biology mechanisms of Parkinson’s disease, or related neurodegenerative
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that seek to understand the actions of biological molecular machines. This post is fixed term for 12 months with the possibility of an extension subject to funding What are you going to do? In this centrally
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-qualification research experience. Relevant areas of research include computational chemistry, structural biology/bioinformatics, statistics, machine learning, computer science or mathematics. They will have a
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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning
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(DPAG), Oxford University. You will work alongside leading experts in mitochondrial metabolism, and engaging with postdoctoral scientists, PhD candidates, and research staff. In this environment, you will
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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system planning, system modelling, multi-criteria decision analysis, data science, and machine learning. You will perform stakeholder engagement and on-the-ground data collection in LMIC contexts and
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, experience in bioinformatics, such as developing computational pipelines or applying advanced machine learning algorithms, and supervising student research would be desirable. Applications for this vacancy
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• Assist in IP protection and commercialisation activities Selection criteria: • PhD or equivalent experience in a relevant field • Experience with grant writing, IP management, and research