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Field
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improve the clinical outcome and help prognose inflammatory bowel disease stages for patient risk stratification. The selected candidate will work with endoscopic and whole-slide imaging (WSI) data
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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The appointees will assist the project leader in the research project - “Investigating neurocomputational mechanisms of decision making using concurrent electroencephalogram-functional magnetic resonance imaging
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create a collaborative and engaged user community. A special focus lies on the operation of the multiphoton and FLIM microscopy systems and establish intravital imaging pipeline. Main Duties and
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algorithms Significant experience and publication on AI and image processing Experience with foundation models, explainable AI and/or efforts to translate AI to routine use are emphasized Highly motivated with
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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) with a focus on healthcare and/or biology and modalities such as computational pathology, genomics, transcriptomics or medical imaging. Strong experience with Python and at least one deep learning
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a