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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
phase kinetics and photochemistry are studied in the laboratory, producing experimentally derived parameters to drive complex computer models that simulate the atmospheric chemistry of interest
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of Computer Science and Electrical and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy Societal digital
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-orientational metrics such as the q₃ parameter, correlate with electronic transport, optical response and thermal behaviour. Requested to have expertise in device simulation, the researcher will also study
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quality and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how physical and chemical fiber parameters relate to dye uptake behavior, dyebath exhaustion, color
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control probe positioning and ultrasound imaging parameters. 4, Design and test intuitive human-machine interfaces to support non-specialist users in operating wearable ultrasound devices. Conduct
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process modeling, simulation, and systems analysis Experience with experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control
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experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control methods is a plus Programming experience in MATLAB and/or Python Familiarity
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, social influence, norms, identity, knowledge, and values. Using experimental, observational, longitudinal, survey, or other empirical data to develop, estimate, calibrate, compare, and evaluate
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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integrating biochemical and molecular soil parameters (with a focus on microbiome features from metabarcoding and metagenomics) and agronomic traits generated in horticultural field trials testing organic