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document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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international team - including Dundee, EMBL-EBI and German Bioimaging - to develop next gen file format strategies and data management for existing large complex multimodal human tissue bioimaging datasets at KCL
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to appoint a highly motivated and experienced postdoctoral research associate in computational materials chemistry. The position is funded by the EPSRC project “Data-driven design of organic mixed conductors
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“Data-driven design of organic mixed conductors”. Mixed ionic/electronic conducting materials are being developed for applications in bioelectronics, biosensing, energy storage and neuromorphic computing
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for resection. The post holder will also be expected to work collaboratively within the Programme and provide their expertise and support to a large multidisciplinary team of chemists, radiochemists, (radio
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. Over the last 5 years the Jackson Lab has obtained over £5m in grant funding and published over 50 original research manuscripts About the role This role is for a scientist who has obtained a PhD and has
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, BLIP), fine-tuning large language models for clinical NLP, and self-supervised contrastive learning—the models will learn to effectively combine visual and textual information. By developing
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD or Doctoral level qualification (such as Dr. med) in relevant subject area Clinical
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Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient