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should apply if You hold a PhD in Mathematical Statistics and Data Science. You have significant academic experience, including substantial post-PhD teaching and research achievements. You demonstrate
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PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have significant academic experience, including substantial post-PhD teaching and research achievements in
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candidates with excellent academic and research records, and at least 3 years of post-PhD research experience, in the following areas: Advanced CMOS Devices (memory, RF) Photonics & Lasers (on-chip sources
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contribute to institutional development and capacity-building initiatives. You should apply if You hold a PhD in immersive technologies or related fields (e.g., VR/AR/MR/XR, HCI, AI for XR, computer graphics
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capacity-building initiatives. You should apply if You hold a PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have proven ability to teach at a high standard
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and postgraduate students, develop external funding for research support, and participate in institution building. Required and preferred qualifications: Applicants should have a PhD and post-doctoral
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development and capacity-building initiatives. You should apply if You hold a PhD in Mathematical Statistics and Data Science. You have proven ability to teach at a high standard and an emerging track record
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December 15, 2025. Eligibility: Researchers who have received a PhD within five years proceeding the proposed residency and who do not currently hold a tenure-track position. Organizers: Surface group
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policies. Experience, Skills & Qualifications: Essential: A PhD (or equivalent) in a relevant discipline within biomedical, clinical or public health research. Candidates with a background in computational
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the international advanced level. PIs Hold a PhD degree; Primarily engage in research directions in the natural sciences, engineering technology, etc.; Generally should have held a formal teaching or research