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delivery of quality customer service. • Projects a professional image in appearance and behavior. • Must be well organized, able to set priorities and adept at handling multiple tasks simultaneously
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mathematics, or a closely related field. Relevant experience may include one or more of the following: machine learning, deep learning, or generative modelling computer vision or biological image analysis
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learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple-instance learning or high-performance computing is an
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engineering, or a closely related discipline. We are particularly interested in candidates with a strong technical background in medical image computing, machine learning, computer vision, or multimodal
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frameworks scientific machine learning, inverse problems, differentiable simulation, or physics-based modelling computer vision, biological image analysis, microscopy data, or other noisy high-dimensional
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learning platforms Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification
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Center for Advanced Smart Materials (CASM), Yongjiang Laboratory (Y-Lab) | Spain | about 8 hours ago
________________________________________ Open Positions Principal Investigator / Associate Professor We seek ambitious early-to-mid-career scientists with an outstanding publication record and the vision to build and
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national collaborative research consortia or institutions (e.g. German Center for Lung Research (DZL, https://.dzl.de); German Center for Infection Research (DZIF; https://www.dzif.de), and the
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Justus Liebig University Giessen Advanced Clinician Scientist (ACS) Program for Facilitation of Biom
research consortia or institutions (e.g. German Center for Lung Research (DZL, https://.dzl.de); German Center for Infection Research (DZIF; https://www.dzif.de), and the Cluster of Excellence EXC2026
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diagnostic imaging and image guided procedures across a range of breast conditions and collaborating with multidisciplinary teams to support patient care. The position supports a dedicated breast imaging