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English and Chinese Able to work independently and in a multidisciplinary team Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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applied skills and knowledge. As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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“expected output index” worldwide in Electrical and Electronic Engineering by Times Higher Education World University Rankings 2018. Duties Teach and supervise student projects at both undergraduate and
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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faculty positions on tenure-track. Assistant Professor (Computer Science) (25260312) The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels
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, the appointee will help co-supervise MPhil and PhD students, establish a cutting-edge research programme in computational chemistry and machine learning, and engage in various scholarly activities, including