88 computer-science-image-processing-"Multiple"-"Humboldt-Stiftung-Foundation" Postdoctoral positions
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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volume of imaging and behavioral data from the BrainHealth Project Publish findings Help to secure funding to continue the research program Physical Demands and Working Conditions Long hours working
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will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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for developing new computational tools and AI/ML approaches to analyze and correlate data from multiple imaging modalities, including synchrotron tomography, x-ray fluorescence microscopy, visible light microscopy
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Neurology Lab Dr. Wessel's lab is joint between the Departments of Psychological and Brain Sciences and the Department of Neurology at the University of Iowa. It is equipped with multiple EEG and TMS systems
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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Cognitive Neurology Lab Dr. Wessel’s lab is joint between the Departments of Psychological and Brain Sciences and the Department of Neurology at the University of Iowa. It is equipped with multiple EEG and
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Directorate: School of Engineering and Physical Sciences Grade: Grade 7 (£37,174 - £46,735) Contract Type: Full Time (1FTE), Fixed Term (24 Months) Rewards and Benefits: 33 days annual leave, plus 9
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic