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Field
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Scholar will work closely with the faculty lead, students, research staff, and external collaborators to formulate research questions; develop novel methods, algorithms, software, and cyberinfrastructure
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related to the project’s objectives. • Process and analyze the collected data by implementing machine learning algorithms and artificial intelligence. • Develop a web-based geospatial interface
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biology, engineering, applied mathematics, or related discipline. The position requires demonstrated experience developing and implementing automated detection, classification, and localization algorithms
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experimental datasets, image series, or complex spectroscopy using languages such as MATLAB, Python, C++, or equivalent tools (e.g., Abel inversions, tomographic algorithms). Ability to design, troubleshoot, and
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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of control algorithms and robotics for controlling hexapod-like loading systems. Excellent English proficiency and intermediate Danish proficiency (some teaching tasks are at the BSc level, which is in Danish
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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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collection, data storage, algorithms, and AI learning principles that allow components of a distributed AI system to be trained collaboratively to dynamically better cooperate toward a unified production