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Field
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. Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation. Formulate high-quality research ideas and
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engineering, and quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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engineeringEducation LevelPhD or equivalent Skills/Qualifications Educational background: PhD in Biomedical engineering, Optical Imaging/Physics, Biophotonics, Medical Imaging or AI, Image Guided Intervention or a
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Job Description Many industrial processes generate wastewater with small oil droplets stabilized by surfactants, the same goes for accidental spills of fuels incl biofuels and various process oils
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cell lines have been engineered and characterised, you will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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you through the process of transitioning from a postdoc to an independent researcher. Our postdocs have been successful in their career development, such as earning the NSF postdoc fellowship. We
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Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Education and qualifications: Required: PhD qualified in relevant subject area (brain imaging, magnetic
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with