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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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making sure these are executed in a timely fashion and to deadlines. • Be willing to learn and develop new computational and wet-lab techniques and approaches required for the project as it evolves
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will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive and computational neuroscience including motivation
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sleep; performing anatomical tract tracing; analysing existing and new datasets using python and Matlab using advanced statistical methods such as machine learning; collaborating with other members
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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