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Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated datasets, and strong programming in Python
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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-physics TCAD simulations aimed at efficiently modeling charge transport, Joule heating mechanical deformations and ion migration in electronic devices such as MOS transistors and NAND memories
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to conduct
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 23 days ago
Student (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling. Your tasks # Development and implementation of numerical and algorithmic methods for the simulation of fluid-dynamical
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duties and responsibilities Carry out research in modelling and simulation of particulate processes using appropriate software packages for techniques such as DEM, CFD, FEA and Machine Learning. Develop
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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/10/2024 Department Art and Design Line Number temporary service Budget Title Artist's Model Rank/Grade NS FTE Part-Time FLSA Non-Exempt Negotiating Unit PEF Appointment Type Temporary Jurisdictional
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 10 days 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