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Applications are invited for a post-doctoral position in the Sir Peter Mansfield Imaging Centre (SPMIC), Mental Health and Clinical Neurosciences, School of Medicine at the University of Nottingham
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wearable sensing device for monitoring critical fetal and maternal parameters. The project will involve the development and optimisation of a prototype pregnancy activity monitor based on optical fibre
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, presenting work and writing manuscripts. Application Procedure Applicants should submit the following as a single PDF to [email protected] with the subject line “InfantNeuroAI MEG Postdoc 2026”: • full
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Applications are invited for a post-doctoral position in the Sir Peter Mansfield Imaging Centre (SPMIC), Mental Health and Clinical Neurosciences, School of Medicine at the University of Nottingham
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
information for two to three references Use the subject line: Postdoc — Immunology and GVHD, or Postdoc — Bioengineering and Platform Technology Submit applications to mtrapec1 (at) jhmi.edu. Johns Hopkins
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publications, commercialisation, and/or dissemination as open-source designs. The ideal candidate might be from an academic (e.g. PhD/Postdoc in a related engineering/electronics/sustainable engineering area) or
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI
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prototype and demonstrate its performance using real battery waste streams. Based within the School of Chemistry and Chemical Engineering and the School of Biosciences at the University of Surrey, you will
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2022 but may also start earlier. KAUST offers competitive/generous postdoc compensations. The Research Vision-CAIR group performs research and develops computational approaches in the following research
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets