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Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are seeking a highly motivated research fellow to join our dynamic team at the School of Materials
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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Information Technology FTE 1.0 FLSA Exempt Scope of Job To provide clinical staff and providers-facing applications support and training, including but not limited to: Electronic Medical Record (EMR) use, EMR optimization
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, computers, and other technology related systems in classrooms, auditoriums, and conference rooms. Assist in the installation, configuration, and maintenance of classroom technology systems, ensuring optimal
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contributes to method development and optimization, performs preliminary data review, and supports implementation of new laboratory workflow that include maintaining laboratory operations, assisting with
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of the newly discovered enantioselective reactions for the synthesis of medicinally relevant compounds. In this context, recently we have optimized the enantioselective heterodimerization of 1,3-dienes and
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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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methodologies for the preparation of halogenated molecules using continuous-flow photocatalysis. The activities include the design and optimization of photoinduced reactions under flow conditions, the selection
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their widespread use. First, the critical design of an effective combination of biobased insulation and cladding that meet mechanical, thermal and acoustic requirements for an optimal energy efficiency and low