160 parallel-computing-numerical-methods-"Simons-Foundation" research jobs in Hong Kong
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frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability
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Department of Health Technology and Informatics Part-time Research Assistant (Ref. 251014024) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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Department of Health Technology and Informatics Part-time Research Assistant (Ref. 251014025) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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project - “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b
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should: Possess a Ph.D. in Economics, Public Policy, or a closely related discipline, with solid training in economics and quantitative research methods. Demonstrate strong research capability and a track
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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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) Country Hong Kong Application Deadline 16 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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. Applicants with expertise in digital methods for historical analysis, as well as knowledge and practical skills in using digital applications for research and pedagogy, will be given preference. General
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research methods. Proficiency in written and spoken English and Chinese is essential, along with the ability to work independently as well as collaboratively within a team. Experience with advanced or mixed
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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