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Field
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) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical analysis of supply
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histology, immunohistochemistry, in situ hybridization, organoid/tissue explant cultures, and live imaging. Analyze complex data, including bulk, single-cell, and spatial transcriptomics datasets. Present
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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding
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, the candidate will contribute to other neuroimaging research including novel MRI sequence and imaging marker development to explore the physiological and pathological processes involved in primary and
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signaling in larval Drosophila using two-photon tracking microscopy developed in the Gershow lab. The postdoctoral researcher will design and conduct imaging experiments, analyze volumetric imaging datasets
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research
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an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities
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, clustering and classification of extensive marine-based image archives, characterisation of change in multi-year surveys and adaptive mission planning for multi-vehicle systems. We undertake marine surveys
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
pursue an interdisciplinary approach, developing novel quantitative MRI acquisition methods, image processing methods and integrated biophysical models. We are seeking a postdoctoral researcher to develop
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& Data Science. About the Lab Our research focuses on the development, evaluation, and trustworthy use of AI in medicine. We work across language, imaging, and multimodal health data, with particular