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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250502015) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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modelling and statistical computing programs and languages such as Python and R Please refer to the Position Descriptions for other duties, skills and experience required for this position. Welcome
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using and developing models to simulate natural systems. Knowledge
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appointee will join the LEO Dr. David P. Chan Institute of Data Science and will be expected to: (i) carry out research and submit papers to top journals in the field of large vision models or large language
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a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in