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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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digital twins at scale. The doctoral candidate will create computational approaches capable of estimating anatomical, mechanical and electrophysiological parameters from large imaging datasets while
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the fulfilment, cumulatively, of at least one of the following requirements: a) Have demonstrated experience in computer programming. 8.2. The decision of exclusion on absolute merit is notified to the candidates
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Job Description The Department of Electrical and Computer Engineering (ECE), College of Design and Engineering, is seeking a Research Fellow to lead the process development and device fabrication
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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modeling and analysis. Ability to select, implement, diagnose, and adapt parameter-estimation or statistical-inference methods to suit the model, data structure, and scientific question. Experience with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 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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error estimate, and a full record of how it was computed. Build and scale MLIP/MD/DFT workflows (e.g., atomate2, MACE/CHGNet/UMA-class potentials) to hundreds of compositions on HPC. Validate predictions
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for the acquisition, processing, and analysis of physiological signals and vital parameters (e.g., respiration, cardiac activity, motion) Application and advancement of methods in digital signal processing, statistical
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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