116 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University in Singapore
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the following tasks: Development of new large language models for process modeling Development of new decision-making algorithms Provide regular project updates to principal investigator and funding agency Report
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data collection with stakeholders from participating schools, organize, and manage data storage (f) Process and conduct qualitative data analysis (i.e., transcribing, coding) (g) Write reports, be
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communication, or signal processing. Proficiency in programming languages like Python, MATLAB, or C++, and experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. A proven track record of
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for energy and catalyst, AI-assisted material design/screening, and the green flow processes/reactor design and understanding. For more details, please view https://www.ntu.edu.sg/mse/research. We are looking
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and materials processing methods for solid cooling devices. The candidate will play a crucial role in solid state chemistry synthesis, vacuum sealing, processing, characterization, property evaluation
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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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the environmental performance of established and emerging processes. This role includes designing and conducting cradle-to-gate and cradle-to-grave LCAs, building life cycle inventory (LCI) datasets, and integrating
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framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct
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the structure and functions of the human brain, with particular emphasis on both normal and pathological cognitive processes. Located in the Experimental Medicine Building on NTU’s main campus, CoNiC is equipped
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multidisciplinary team driving transformative sensing technologies. Key Responsibilities: Develop and optimize fabrication processes for sensor arrays based on 2D materials (e.g., graphene, MoS₂), including flexible