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Strong background in SEM, FIB, EDS, RAMAN, LC-MS/MS, and FTIR Proficiency in data analysis and data modeling Excellent written and communication skills with demonstrated records of publications. Strong
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a PhD’s degree in the area of power and energy systems. Good experience in one or more of the following topics: power system stability and control, power system modeling and simulation, inverter-based
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living cells. Identify regulatory RNA switches involved in cell fate determination using both cancer cell lines and embryonic stem cell models of cell differentiation. Design and screen therapeutics
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in modeling Atmospheric circulation and/or trace gas emissions Expertise with remote sensing data products, particularly XCO2, XCH4, or SIF Engineering skills such as CAD drawing, 3D printing, PCB
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to climate change mitigation and adaptation. One notable development from the Institute is GCAM, an integrated assessment model of energy, land, water, and atmosphere. TERM Initial appointment is for one year
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University. The prospective postdoctoral fellow will be responsible for conducting a research project to quantify the impacts of global/regional air pollution on atmospheric chemistry, air quality, human
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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that utilize atmospheric gases for propellant (i.e. Air-Breathing Electric Propulsion). The successful candidate will have the opportunity to research and develop novel thruster configurations using state
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: In-situ testing facilities and characterization techniques (Generation of unique databases on well-identified frames), validated models in operational conditions (New models based on real in-situ
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and established companies in robotics. We specialize in robot solutions involving modelling, estimation, and control of advanced robot systems. In addition, the candidate will be integrated into CAPeX