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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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contribute to the design and implementation of an out-of-lab quantum, magnetometer based on OLEDs. Field test and benchmark a prototype OLED quantum magnetometer. Align with and actively demonstrate the Code
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-powered mineral prospectivity modelling codes. As Postdoctoral Research Associate - EarthBank you will; Your key responsibilities will be to: Spearhead research into the development and utilisation of open
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The brain is a complex system and monitoring and imaging methods to observe critical neurophysiological variables underlying brain function are limited. This project works at the intersection
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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tools in combustion. Our computational codes are also used by various international research institutions. Both experimental and numerical projects are conducted in parallel providing a platform for
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such as quasi-normal modes. You will lead the development of modelling codes and have primary responsibility for at least one project within the broader research program. Additionally you will contribute
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achieve recognition and impact in the research area, design PCBs and develops FPGA code, develop image signal processing systems and sensor motion control, collaborate on the assembly, alignment, and
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/multiprocess applications Ability to work independently and solve technical problems in the field Experience with ML, point cloud/image processing, path planning (desirable) Experience in GUI development and/or