98 parallel-programming Fellowship positions at Nanyang Technological University in Singapore
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. Job Requirements: Ph.D. in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Proficiency in programming languages such as C/C++ and Python. Independent, highly analytical
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research Enthusiasm for applying advanced mathematical tools and techniques to applications in biophysics Good written and oral communication skills Experience in the use of programming languages and
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could help in this case. Also, data management is important to improve the efficiency of solutions. Job Requirements: Preferably PhD in Computer Science or related field. Expertise in computer programming
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Science, Informatics or equivalent. Independent
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, MRI, X-ray, pathological slides). Excellent programming, analytical, and research communication skills, with a track record of contributing to competitive research grant proposals. We regret that only
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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applications, plant-based bio-material applications, etc. We are looking to hire a Research Fellow. Key Responsibilities: The primary objective will be plan, monitor, and perform experiments within the scope
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to Journal/Conference papers with good presentation skills. Able to plan and organize well and adhere to deadlines We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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part of the Smart Gripper for Soft Robotics program. The program aims to deliver soft active gripper for manipulation of objects for industry applications. The design of coating, materials preparation
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written