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Guy’s Campus, Denmark Hill and UCL. About the role: To investigate the cellular mechanisms underlying schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with
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, theoretical models and data analysis. Responsibilities will also include assistance in the day-to-day maintenance of the experimental facilities, liaising with external collaborators, assisting in
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies
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numerical modelling. Ability to participate in research meetings to troubleshoot research problems and discuss the direction of research. Skills Fluency in at least one scientific computer language (e.g., C
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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understanding of the instrument and its capabilities before data delivery begins. This positions you to make significant scientific contributions once the data becomes available. This post is full-time (35 hours
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electronically through our online recruitment system and provide the following documents in English: For Doctoral Researcher position applicants: Motivation letter – including contact information (max. 1 page
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated