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developing image analysis and machine learning algorithms and tools for aerial imaging and analysis. You will also contribute to data collection, data curation, and the development of a data portal for project
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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systems from QC attacks, and accelerate the adoption of quantum-enhanced cybersecurity, AI, optimisation and simulation algorithms across Australian industries – aligning with the Digital Economy 2030
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development (dyn.web.nitech.ac.jp/en/) The researcher in this recruitment will be engaged in the research subject "Mathematical models and algorithms for brain-morphic computing" in JST CREST Project
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, SDEs) - Number theory and cryptography including cryptographic standards, implementation and migration - Logistics and supply chain network theory - Simulation design and algorithms - Dynamical systems
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development (dyn.web.nitech.ac.jp/en/) The researcher in this recruitment will be engaged in the research subject "Mathematical models and algorithms for brain-morphic computing" in JST CREST Project
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machine learning algorithm being tested as part of the research project. The employee will expect to preform other duties as assigned which could include data entry, data quality control, periodic support
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related field (e.g., computer science). Experience: Experience with different AI/ML algorithms. Strong preference for experience with NLP methods, including transformer-based and large language models
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can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU. Key Responsibilities 70% Develop, implement, and test new algorithms and tools for agricultural water
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive