1,279 computational-physics-"https:"-"https:"-"https:"-"https:"-"INRAE" positions in Singapore
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Research Deputy Manager, Future Communications R&D Programme (FCP) – MediaTek-SUTD Joint Laboratory The MediaTek-SUTD Joint Laboratory is a strategic research collaboration between MediaTek, a
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enterprise data platforms, automation technologies, and analytics within a large and complex organisational environment. Key Responsibilities: Business Process & Requirements Support Assist in documenting
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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multiple priorities Experience in system implementation, business process re-engineering and process documentation Experience with computational methods, data analysis or modelling to support organizational
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/she shall play an important role in the entire recruitment process for the NGL programme, from marketing to outreach and admissions. The manager will also oversee one NGL staff member responsible
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proposal preparation Requirements: PhD degree in chemistry, physics, chemical engineering, computer science, or other related fields Research background in theoretical catalysis/materials science, AI/ML
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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of nonlinear optics through the integration of artificial intelligence. The successful candidate will lead projects that combine the development of Physics-Informed Neural Networks (PINNs) with advanced fiber