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leverages the exceptional research infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs. Hematological malignancies are the most
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arisen in multiple species, making it an ideal system for studying the origins of asymmetric divisions in evolution. We seek a Postdoctoral Researcher to contribute to this project by developing a
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: Employing satellite observation and machine leaning to improve model representation of ice sheet surface melt”. The candidate will work under the direction of Prof Nowicki and in collaboration with multiple
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states of matter, which are generally characterised by their long-range quantum entanglement, fractionalised excitations, and absence of ordinary magnetic order, using multiple experimental techniques
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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of Prof. Weston Struwe for a period of 24 months. The project, funded by the UKRI, centres on developing advanced methods for structural characterisation of glycoproteins using trapped ion mobility
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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pairing to enable spin-polarised charge and pure-spin supercurrents. The role will involve developing and characterising hybrid superconducting devices with ferromagnets and antiferromagnets, with a focus
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview The Institute of Child Development, University of Minnesota, is seeking a Post-Doctoral Associate to