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Field
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, National University of Singapore. Key Responsibilities • MMV system performance evaluation and optimization in tropical climates. • Design and conduct thermal comfort and indoor environmental quality
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 18 days ago
the gasification of solid waste to obtain H2, and studies its impacts and use in various sectors. To do this, ML and numerical simulation will be applied, optimizing the operating conditions to obtain a H2-rich gas
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; - Develop and optimize molecular and cellular biology protocols (e.g., cloning, Western blot, RT-qPCR, etc.); - Perform live-cell confocal microscopy (including image acquisition and analysis); - Provide
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innovation in scientific communications practices. Cross-Functional Collaboration and Innovation Identify opportunities for process optimization and implement innovative solutions in medical communications
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atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental excitonic effects Record, manage, and store collected data in
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: Participate in the characterization, optimization, and validation of bioactive scaffolds in vitro and in vivo. a) Guide Tube Design and Physical and Chemical Characterization; b) In vivo Studies - Sciatic Nerve
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challenges, including data analysis, hypothesis generation, and experimental design optimization. We seek a highly motivated postdoctoral candidate with expertise in AI, machine learning, and computational
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: Follows NIH Postdoctoral guidelines and comprehensive benefits Start date: As soon as possible Core Responsibilities Develop and optimize protein purification protocols for key stress response factors
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the research for the project on robot human teaming. Key Responsibilities: The Research Fellow will work on a project to conduct research for human robotic teaming, in particular: Perform optimization
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other associates to develop optimized photonic test structures that will be incorporated in PIC process flows and enable extraction of key physical parameters associated with PIC performance, including