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prototype rigs, as well as circuit boards experience in using 3D printing systems experience from being responsible for computer networks or maintaining/updating software for computer-based control systems
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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI
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, which can benefit a wide range of real-world applications. This Research Engineer will work with our team to conduct the research on development of AI models and algorithms for image processing
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Novel Nanoswimmers - exploring novel routes to propulsion at the nanoscale. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Jonathan Howse, Dr Stephen
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Brest, Bretagne | France | 15 days ago
consistent picture of the ocean circulation over a mid-ocean ridge. Furthermore, both numerical idealized studies and in-situ observations suggest that non-hydrostatic processes in the BBL could have been
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will be attentive to your employees’ growth and development processes. Profile You hold a PhD in Biomedical Sciences, Biochemistry or Bioinformatics You have a minimum of 10 years of research experience
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technology transfers. Potentially collaborate with fabrication and experimental teams to validate models on real hardware and datasets. Where to apply Website https://careers.hpe.com/us/en/job/1204598/HPE-Labs
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-probe measurement techniques based on photoelectron-photoion covariance imaging, and (3) experimental studies of charge dynamics and nonlinear processes. The project might also include complementary
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tissue. As the successful candidate you will have a PhD in instrument development or be due to complete doctoral studies within 6 months of applying. Ideally you will have experience of light sheet imaging
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Engineering, or related field. • Demonstrated expertise in deep learning and AI methodologies. Experience in medical image analysis, particularly applied to cancer research (pathology, MRI, CT scans) preferred