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Field
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. The candidate will collaborate closely with team members to develop novel quantum computing algorithms that leverage hybrid detection methods and explore the potential of 3D cluster states for enabling fault
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software packages for data
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
skills, and technical writing. Capacity to successfully develop collaborative research links with national and international research organizations. Strong teamwork skills, ability to adapt
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currently leading the NeuroHand project—a UKRI-funded programme focused on the development of a soft robotic exoskeleton glove for stroke rehabilitation. The role provides an exciting opportunity
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. Develop algorithms for archiving sea surface temperature data in Group for High Resolution Sea Surface Temperature GDS 2 format. Job Related Minimum Required Education and Experience Requires a Doctoral
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electron beams, advanced beam-manipulation for precise electron-beam shaping, and ML for accelerator science. Responsibilities Develop and deploy ML algorithms for autonomous operations and optimization
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch