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Field
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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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detection of microbial bioburden in biopharmaceutical cleaning validation processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems
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role will require membership of the PVG scheme. An offer of employment will be subject to a satisfactory outcome of this process. This role is not eligible for sponsorship. Applicants require to have
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
, Parkinson’s, depression, psychosis) Multimodal AI for diagnostics — integrating imaging, text, physiological signals, and genomics Safe, explainable, and trustworthy AI for clinical decision support Precision
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candidate will have a background in multi-omic data processing, analysis, and modeling, with a strong interest in understanding molecular mechanisms of disease. Research plans will include the development
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development and application of data processing workflows, working closely with existing team members across optical, infrasound and RF sensing to contribute to a genuinely multi-modal picture of atmospheric
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to their host and antibiotics and to translate these insights to develop innovative approaches to prevent, treat and diagnose bacterial infections. In particular, we are interested in understanding: i) how single
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constructs (assembly or delivery), cell culture, or techniques to study chromosome behaviour (e.g., NGS, live-cell imaging, mitotic spreads, or FISH). Please highlight any relevant experience in your cover
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this role, you will provide academic leadership in cutting-edge single cell and spatial biology methodologies, including but not limited to multi-omics, spatial transcriptomics, advanced imaging, high
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scientific discovery. The successful candidate is expected to: Design and develop optical sensing and imaging systems for biological experiments (e.g. microscopy, spectroscopy, fluorescence-based readouts