23 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Postdoctoral positions at King's College London
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. The Department of Forensic and Neurodevelopmental Sciences (FANS) is one of Europe’s largest research groups, bringing together leading experts in brain development and neurodiversity. We undertake basic sciences
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national data sets, and supporting the development of a south London schools health research network, with the King’s Maudsley Partnership for Children and Young People. The two post-doctoral Associates will
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and
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: Lead experimental work on the sterility, safety, and efficacy of NanoCure bandages in vitro and in vivo. Support manufacturing and process development, collaborating with the Southampton Nanofabrication
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development of wireless activation and communication systems enabling safe, efficient, and selective control of neurobots. Your work will focus on wireless energy transfer, external transmitter/receiver systems
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DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS 1. Allowance: XJTLU
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environment at the Pears Maudsley Centre, with access to extensive neuroimaging, genomic, and clinical datasets and excellent computing infrastructure and expertise in AI. Our career development emphasizes
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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-invasive biomarker sampling via the skin, the use of natural compounds to modify skin keratinocyte function, development of topical formulations that generate gases, novel formulations for drug delivery
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) the motivations and aspirations underlying the development of commercial versus open digital research information infrastructures shaping metadata and data analytic functionalities; (ii) how commercial and open