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, developing, porting, and scaling applications and algorithms for NCCS computers, tuning applications for high performance, and scheduling applications to execute at scale to meet the scientific capability
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relationships between them. Possible directions for the project include (the final scope will be developed together with the candidate, and it is not necessary to cover all topics): Group fairness: developing and
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consequences of reliance on algorithmic approaches to public policy implementation; methodological development at the intersection of social science and AI/machine learning. It is advantageous to have expertise
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extensive engagement with industrial partner (e.g. in terms of data collection and development of practice). The doctoral project What happens to the value and purpose of creative work when people create
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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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/proteomic/clinical.]; data management and analysis solutions that assist in storage, investigation and dissemination of large data sets. Works with research team to develop new algorithms to support studies
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profile. The successful candidate will primarily advance data analysis, algorithm development, modeling, and translation of complex measurements into practical decision-support, process-optimization, and
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projects with industry partners. Develop hybrid quantum-classical applications integrating AI and HPC workflows. Apply VQE, QAOA, QML, quantum annealing, and quantum-inspired algorithms. Develop industry
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, computer science, or related field. Experience developing software in C++ or Python for scientific applications. One or more years post-graduate experience developing GNSS signal processing or related algorithms
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reliable comparative database. Finally, the candidate must be able to develop and apply classification algorithms for discriminating between asbestos-cement roofs. Where to apply Website https://xup