202 programming-"https:"-"https:"-"https:"-"https:"-"CSIC"-"IDAEA-CSIC" Fellowship positions in Singapore
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office
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The Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and
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will develop and maintain GNSS processing workflows, contribute to the interpretation of geodetic observations, and support ongoing research projects within the tectonics and geodesy research programme
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known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country. We are seeking a Research Fellow to be in charge of
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or reinforcement learning o Sensor fusion and state estimation o Motion planning and control • Excellent programming skills in Python and/or C++. • Experience with ROS
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The role is part of NTU's Experimental and Behavioral Economics group in the Economics Programme at the School of Social Sciences. The team conducts laboratory and online experiments, alongside
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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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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computational methods for engineering analysis. Proficiency in scientific programming, preferably using Python, MATLAB, C/C++, or comparable programming languages. Experience with advanced sampling methods