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of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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The Path to Power: 2024 project utilises the unprecedented opportunity of more than four billion people voting in elections in 2024 to generate a comparative picture of the contemporary state
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
to ileostomy samples, Parkinson’s disease cohorts, and novel hydrogel/motility models. This approach allows us to reveal microbial processes that are difficult to capture with standard models, connecting patient
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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studies linking preclinical discoveries to clinical trials in radiation oncology. Innovative imaging and biomarker development to track response to ultra-high dose rate therapy. The postdoctoral scholar
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress