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Field
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on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and piezoelectric responses in AM components
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the emphasis of the position will be on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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experiment, as well as in the commissioning, optimization, and development of analyses for the ALPHA experiment. The candidate is also expected to take a leadership role in JHU-based testing toward
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experiments independently from start to finish, trouble shoots, and optimizes methods. Analyzes, interprets, and presents complex experimental results. Performs statistical analyses. Understands models
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research experiments, assesses findings, and compiles comprehensive reports. Maintains instruments, develops new methods, and optimizes existing ones. Keeps meticulous records of procedures and research
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with the PI and research team to interpret findings and optimize methodologies. Attend and present at scientific conferences. Knowledge – Skills – Abilities Programming experience is required. Prior
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as assigned. Flexibility and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who can optimally interact with a varied population of diverse audiences
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just that. AbbVie Postdoctoral Fellows serve as technical experts who investigate, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will
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including engineering, economics, and environmental science. Experience developing mathematical or computational models for simulation and optimization of energy/economic systems in ASPEN Plus® and/or Julia