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developing new a trustworthy federated learning paradigm characterized by fairness, transparency, accountability, robustness, security and privacy-protection. The School of Computer Science and Engineering
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. Key Responsibilities: Conduct research on Generative AI and large language models with
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the project. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: A PhD in Computer Science or relevant
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project management and lead/mentor research team. Communicate and collaborate effectively with industrial and academic partners. Job Requirements: PhD degree in Computational Sciences/aerospace engineering
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. Carry out administrative work associated with the program of research as necessary. Job Requirements: PhD degree in communication, psychology, sociology, social science, information, or a computer science
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output through increased paper publication; Diagnosing the issue and resolving it on demand. Job Requirements: PhD Degree in Computer Science, Computer Engineering, Electrical Engineering, Information
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. Key Responsibilities: Preprocess real brain imaging data for further analytical tasks
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Collaborating with interdisciplinary teams Mentoring junior researchers, managing research projects, and presenting findings at conferences Job Requirements: Ph.D. in Computer Science, Electrical Engineering, or
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of the project support. Candidates should have a PhD degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research
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, Computer Science or a related field. Proven experience in high-resolution model development, implementation and application. Strong experience with physical-based and machine learning methods in atmospheric science