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access to state-of-art Siemens, GE scanners, as well as a United Imaging PET/MRI system located nearby—providing an ideal setup for multi-vendor studies. The prospective postdocs will collaborate with a
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Allied Health Care is on the lookout for their next Lecturer/Senior Lecturer to join their team within the department of Medical Imaging and Radiation Sciences. This 6.5 month opportunity aims to prepare
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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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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workflows. (Preferred) Basic skills in microscopy image analysis and quantitative data processing. To Apply Applicants should submit: A CV including publications A cover letter describing relevant experience
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protocols for diverse model organisms, with general supervision. Perform hands-on bench research, including tissue preparation, sample processing, and microscopy imaging to generate high-quality datasets
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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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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access
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calibration, electronics (e.g. image sensors), … PhD applicants should hold a MSc degree in astrophysics, physics, or engineering, or have obtained an equivalent diploma. Proficiency in English is required