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Field
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) Algorithms, Data Structures and Computational Thinking Mathematics for Computing and Data Science Database Systems and Big Data Technologies Software Engineering and System Architecture Cloud Computing and
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programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data management
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Computer Science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Research Assistant to design and execute independent and
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, biometrics, medical informatics, and autonomous systems. To further advance these highly sophisticated intelligent systems, it is essential to integrally develop foundational technologies, such as algorithms
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principles problem formulations, algorithm development, systems designs, software implementations, and collection methods for specialized engineering applications, employing expertise in electrical and/or
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algorithms for mobile robots. Implement and accelerate visual algorithms for mobile robots on embedded platforms. Develop a visual embedded platform on a mobile robot. Conduct field trials with the robotic
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ensuring that the data are of high quality and running algorithms to identify genomic alterations. The goal of this research is to result in a published manuscript. Basic Qualifications BS in computational
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courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer interaction, as well as participate in the full range
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algorithms for digital health and AI-driven research projects. Lead technical innovation by exploring and implementing emerging AI methodologies. Support data platform development and retrospective data