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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
and models of the biochemical processes and production system to feedback to the researchers how to improve the processes while optimizing the production system, and showing venture capitalists how
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and models of the biochemical processes and production system to feedback to the researchers how to improve the processes while optimizing the production system, and showing venture capitalists how
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forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion) in Mechanical/Electrical Engineering or related subject
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in automated extraction, analysis and standardization of multimodal biological, biochemical and medical experimental data Experience with parameter optimization and ODE-based modeling Strong
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processing, inverse problems and data science with emphasis on analysis, optimization, numerics and algorithmic solution Collaboration in interdisciplinary cooperation projects and third-party funded projects
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Posting Title Postdoctoral Researcher: Bulk Power Systems Multi-timescale Operation, Modeling and Simulation . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict