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background in computational modeling of behavioral data Experience with model fitting, parameter estimation, and model comparison Proficiency in at least one scientific programming language (e.g
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data and sparse, noisy, or time-dependent experimental observations. Develop approaches for reconciling computational models with physical experiments, including parameter calibration, model
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functional assays will be used to test and refine model predictions. As a successful candidate you will: · Develop and apply computational models of adaptive oncogenesis, epithelial cell
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simulations, microwave power deposition, tissue perfusion, and bioheat transfer. Perform mesh-convergence, sensitivity, uncertainty, and model-verification analyses. Compare computational predictions with
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spectrometry datasets and the development of new computational strategies for fragmentation analysis under analytically underexplored conditions. It relies on modern machine learning approaches to model
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relevant variables such as peptide sequence, precursor charge state, collision energy, and peptide modifications into computational frameworks Evaluate model performance using suitable similarity
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experience and capability in handling quantitative data and programming. If you already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 1 month ago
, and astrobiology. Description: The primary focus of this opportunity is to perform computational and experimental research in the Structures and Materials Division at NASA Langley Research Center to
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mechanistic, spatio-temporal multiscale computational model of the lymph node. You will integrate agent-based modelling with differential equation-based approaches to better understand immune responses
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, generate testable predictions, and refine models based on experimental observations. The candidate will also contribute to computational model development, neural data analysis, simulation