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are integrated in large, multidisciplinary (and often international) research programs, that include a wide range of experts like immunologists, inflammation biologists, neuroscientists, clinicians and lived
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with infants/children in LMICs. Experience and competency in the interpretation of neuroimaging data from large-scale datasets. Demonstrated experience building research capacity within LMIC teams
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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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experience in neuroradiology/neurology Expertise in collecting and working with large neuroimaging of epilepsy datasets Experience working in diverse international settings Presenting scientific research 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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“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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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
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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