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Field
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biology is highly desirable. Practical experience in bioprocess engineering, including operation of bioreactors, optimization of microbial growth conditions, and management of continuous or batch processes
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technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English
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distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C
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, advanced optimization and control of semiconductor manufacturing processes and systems. Experience in working with advanced AI/ML software packages and super-computing cluster systems, including Hadoop
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for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans
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at the forefront of plasma processing and surface engineering. Key Responsibilities: Lead the design, optimization, and scale-up of PVD and CVD plasma-based processes, with an emphasis on high-performance composite
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. The mission of ODS is to coordinate cutting-edge dietary supplement research across NIH and the federal government to foster knowledge and optimize health across the lifespan. What will I be doing? As a fellow
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) and a track record of productive collaboration within interdisciplinary teams. Core Skills: Experimental Design & Troubleshooting: Ability to conceptualize, execute, and optimize complex in vivo (mouse
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fog nets, aiming to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous networks in order to enhance fog net
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/ML techniques for optimizing RFIC design and system performance would be an added advantage. Able to work independently and possesses strong research skills. Excellent verbal communication and