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Field
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collaboration with life scientists. Your Role: Lead the integration of multiple automated subsystems, including liquid handlers, robotic arms, and imaging modules, into a functional robotic platform, with
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development of new light-based and label-free imaging technologies and their translation to biological research or industry. The successful applicant will play a leading role in developing and implementing
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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, Department of Radiology, has openings for multiple postdoctoral scholar positions. The research projects will focus on advancing rapid, quantitative, and multiparametric MRI protocols, evaluating
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; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Are you pioneering molecular tools and applying advanced imaging strategies to uncover how microbial communities are organized and interact in space and time? If so, we invite you to join The
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Role We are seeking a highly motivated and experienced computer scientist to lead the analysis and interpretation of multimodal imaging, including spatial transcriptomics, single cell and large-scale
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; implement and monitor the technical processes for patient imaging, planning, quality assurance, delivery, and assessment; develop and maintain established policies, procedures, objectives, quality measurement
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Programming, Data Analysis, Data Interpretations, Experimentation, Imaging Analysis, Laboratory Operations, Laboratory Techniques, Magnetic Resonance Imaging (MRI), MATLAB, MRI Analysis, Multiple Sclerosis