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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
-water-balance processes turns satellite soil moisture into an independent constraint on precipitation — a "natural rain gauge" complementary to atmospheric retrievals such as GPM, particularly over
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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fitting, parameter estimation, and model comparison Proficiency in at least one scientific programming language (e.g., Python, MATLAB, R) Demonstrated ability to work independently while collaborating
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nanoparticles Evaluate basic pharmacokinetic and pharmacodynamic parameters of prepared drug delivery systems. 4. Biological evaluation of polymers and biomaterials (optional) Assess in vitro cytotoxicity study
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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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interventions and commercial marketing measures, consumer-oriented innovations, and social dynamics can be combined to support sustainable change. Please make sure to read more about the project here https
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 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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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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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
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from annotated subglacial bedforms; (iii) designing, training, optimizing and assessing deep-learning detection/segmentation models; (iv) producing a database of outlines and morphometric parameters