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clinical researchers. - Experience with multimodal imaging or integration with other imaging techniques. Application Process: Interested applicants should submit the following: - Cover letter outlining
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biological applications. Experience with the analysis of omics, imaging, clinical and other biomedical data is desired. Experience with computer programming is strongly preferred (R, Python and/or MatLab
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. This position is a part of the TRANSCEND doctoral network, which comprises thirteen PhD projects (https://biomed.au.dk/TRANSCEND-network/ ). TRANSCEND is designed to develop a transdisciplinary approach
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. Some positions may require additional job-based screenings such as motor vehicle report, credit check, pre-employment drug screening and/or verification of academic credentials. https://www.usg.edu/hr
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skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow, as well as familiarity with medical image analysis and computer vision. Experience in federated learning, AI
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flexible and hard-working individual who is capable of maintaining attention to meticulous detail in a long-term image analysis process. Responsibilities will include identifying and managing practical
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See PhD theses | SCK CEN Selection process See PhD theses | SCK CEN Additional comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en/thesis-and-internship-topics
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position within a Research Infrastructure? No Offer Description The Division of Synchrotron Radiation Research (http://www.sljus.lu.se ) is a part of the Department of Physics and has more than 50 employees
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supercomputer (https://dcai.dk/gefion ). Downstream finetuning of models for various radiotherapy related tasks (e.g. image segmentation, dose prediction) will also be a part of the study. As part of the position
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personnel systems. Experience working in a high-growth, technology-enabled environment. Demonstrated experience leading business process improvement, organizational change initiatives, and information systems