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Field
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imaging. Key Responsibilities: Design and carry out ultrasonic experiments and develop signal processing techniques Develop theories of acoustic wave propagation in complex materials Design numerical
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proximity to major national research infrastructures and a vibrant scientific community. Description of the project This project aims to develop next-generation, multimodal biopsy and chemical-imaging
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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Informatics or Informatics Engineering. Work plan: The objective is to develop a prototype system that processes geographic information and orthophotomaps and produces segmentation according to predefined rules
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imaging Hormone signalling pathways Experience working with rice or Arabidopsis is advantageous A track record of publishing in peer-reviewed journals Further Details Hours: Full time (36.25 hours per week
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to assist with human physiology (e.g., imaging and exercise testing) aspects of the project from time-to-time. You will join an established team, led by Prof Bethan Phillips, whose main areas
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learning, computer vision, and automated microscope control for autonomous imaging, focusing, and data acquisition. Advance AI-assisted image interpretation, including atomic structure recognition, defect
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medicine research team and key academics and investigators across the rheumatology and cardio-rheumatology field and imaging groups to support novel and ambitious research studies. The post requires working
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related to developing and applying contrast-enhanced ultrasound approaches, and image processing to study remodeling of the islet microvasculature and islet blood flow regulation in type1 diabetes and to
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 10 days ago
, hands-on training in MPS design, operation, and analytical evaluation. Educational activities will include: 1) Cell culture training with human mammary epithelial and endothelial cells within PDMS-based