Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
- “Monetizing used masks: innovative integrated process design, optimization, and commercial-scale comprehensive decision-making”. Qualifications Applicants should: (a) have an honours degree or an equivalent
-
processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image
-
experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
-
interconnected world. We are particularly interested in candidates who have expertise in advanced micro/nanofabrication processes, such as nanolithography, advanced thin film deposition and etching, etc.; 3D
-
for the eligible appointee. Appointment will normally be made on an initial contract for up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application
-
Python programming skills for processing annotated data, implementing fine-tuning techniques (e.g., Chain-of-Thought, Retrieval Augmented Generation), and optimizing outputs through cross-referencing and
-
and conducting cost-effectiveness analyses. Applicants must have a track record in securing competitive grants as principal investigators, managing IRB processes, patient recruitment, and media
-
, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
-
commensurate with qualifications and experience. Application Procedure (online application only) Please quote the reference number of the post in the cover letter and click "Apply Now" to submit your application
-
) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business