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: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce synthetic responses to psychological experiments and how these compare
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simulations of compact binaries (including, for example, binary black holes, binary neutron stars, and black hole–neutron star binaries). The broader goals are to generate accurate predictions for gravitational
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Characterization of LAM Model Deployment on Edge-Cloud Optimization of LAM Model Deployment on Edge-Cloud Simulation of LAM Model Deployment on Edge-Cloud Where to apply Website https://www.uniovi.es/conocenos/rrhh
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Bioprocess Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source
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and Informatics (Numerical Analysis; simulation, optimisation and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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genera, should be used for the European simulations, the global version of the model for global model runs Compare the vegetation model outputs with pollen and charcoal records together with experts
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Center. Posting Summary Rutgers Institute for Nicotine & Tobacco Studies, located in New Brunswick, NJ is seeking a Senior Data Analyst with strong quantitative skills and experience in simulation modeling
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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-fidelity management within a multi-objective constrained closed system design optimisation can allow a highly complex system and environment to be more accurately modelled and simulated, accounting