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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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the application materials Required Qualifications: ● A PhD degree in Neuroscience or a related field. ● Possesses a strong laboratory background and communication skills. Preferred Qualifications: ● Ability
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in the position and outline skills and experience that directly relate to this position. Job Summary The Genoplastic Surgery Lab (University of Michigan, Section of Plastic Surgery), led by Dr. David
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limited to, multiple aspects of clinical support and QA related to linear accelerator calibration, stereotactic and image guidance process QA, brachytherapy (LDR, HDR and Eye) support and potential
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through publications and presentations throughout the PhD. 6 Skills The candidate should hold a Master’s degree in electronic engineering, embedded systems, artificial intelligence, signal or image
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allows onsite vector production and development; the Center for Magnetic Resonance Research, which is at the forefront of high magnetic field strength imaging in both humans and animals, and the UMN
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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are co-Directors of the CNS Lab, Casey Burrows is the Lab Director of Clinical Training, and Shanna Mliner is the Program Director. Amy Esler, PhD, LP serves as the Clinical Core lead for this work
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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member of our team, you will receive individualized mentorship and rigorous technical training in advanced molecular and imaging techniques, including: ⢠In vivo mouse models of gene therapy ⢠Complex