28 machine-learning "https:" "https:" "CMU Portugal Program FCT" Fellowship positions in Hong Kong
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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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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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. The Society aims to establish a vibrant research community where Fellows interact with each other and other members of the Faculty. Fellows will be expected to teach two courses during the term
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with each other and other members of the Faculty. Fellows will be expected to teach two courses during the term of their appointment and are required to submit a brief annual summary of their activities
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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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to establish a vibrant research community where Fellows interact with each other and other members of the Faculty. The Fellow will be expected to teach two courses during the term of their appointment and are
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University is available at https://www.ln.edu.hk/ . We are launching the LU Presidential Postdoctoral Research Fellowship Scheme (PPRF) and invite applications from early career researchers from all over
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/Cosmology, particle , Theory of Particle Physics Appl Deadline: 2026/01/31 11:59PM (posted 2025/12/02) Position Description: Apply Position Description The IAS Center for Fundamental Physics (IAS CFP) (http
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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or related principles and will work with Prof. Bing Zhang to conduct research in astrophysics. Recent works of Prof. Zhang can be found at https://www.physics.unlv.edu/~bzhang/. Candidates with research