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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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of the mathematical models of the patho-physiology and PK/PD of the pharmaceutical compounds of interest AI-based black-box optimisation AI-based synthesis of virtual twins of adrenal patients to simulate treatment
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California State University, San Bernardino | San Bernardino, California | United States | 1 day ago
, diffusion models), or network simulation tools (e.g., ns-3). Prior research experience in academia or industry. Proficiency with LaTeX and technical writing. SPECIAL CONDITIONS The person holding
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in a team environment Preferred Qualifications Experience or familiarity with some of the following tools is strongly encouraged: Adobe Creative Cloud or similar creative software 3D modeling and
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the North Atlantic throughout the year, using a combination of literature review, observational data, tracking and stable isotope data, as well as model and simulation results study the distribution
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Development and application of new methods for studying allosteric regulation in chaperone complexes
methods and models for the study and simulation of protein folding processes; in the development and application of coarse-grained models for the study of the dynamics of single proteins and complexes; in
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models. In addition, it will use Crispr-Cas9 approach to knockdown important transcription factors, such as Snail and Twist, in triple-negative breast cancer cell lines to examine the functional role and
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the magnetospheric and planetary orbiters of BepiColombo, and comparing with numerical simulations, the project aims to provide completely new and critical insights into Mercury's magnetospheric ion dynamics. 1
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a