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of predictive models, multimodal data integration, development of explainable AI algorithms, analysis of clinical, biological and imaging data, and implementation of software tools supporting biomedical research
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the development of advanced digital infrastructures, such as next-generation networks (6G and beyond), as well as the vulnerability of businesses and consumers to these risks. Context and Scientific Objectives
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local
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. Develop motion-planning, task-planning, perception, control, and feedback algorithms for operation in complex laboratory environments. Integrate robotic manipulators with cameras, force/torque sensors
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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on the development of innovative tensor network methods to support the design, analysis, and optimization of quantum and quantum-inspired algorithms. Theoretical and computational tools will be developed
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of the ASSET Junior Professor Chair (Tenure Track Professor) will be responsible for developing and structuring a research programme of excellence at the interface of advanced algorithmics, embedded systems
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software development and scientific computing algorithms as well as the ability to learn quickly. Candidates will be evaluated solely on their ability to demonstrate the skills, knowledge, and experience
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. The role spans the entire research pipeline – from processing spatio-spectral-temporal UAV imagery to model development, algorithm validation and deployment, including contributions to a QGIS forest
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implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Utilize PyTorch to train and fine