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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 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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modeling, sensitivity and robustness analysis, Bayesian inference, inverse problems, parameter estimation, or model validation. Experience or strong interest in scientific AI/ML, including surrogate or multi
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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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, uncertainty-aware parameter estimation, surrogate modeling, and reduced-order modeling where relevant. The scientific emphasis is mechanics-first: we are looking for someone with strong foundations in nonlinear
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 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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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