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on the layouts and integration schemes, 3D structures are simulated in TCAD then used to produce electrical compact models for both the device and the RC parasitics due to the metal interconnects. These models
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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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for the simulation of microplastic transport in the Mediterranean Sea, with specific focus on the Central Mediterranean. The model, developed on the basis of a Lagrangian formulation, will be forced by ocean current
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modeling - Coalescent modeling - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results -Integration within the BioDiv team at IBENS - Availability of work station, computer
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methodologies, interfaces, and best practices to ensure model reusability and knowledge transfer across teams. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/systemctlm-modeling
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designing, developing, and supporting training activities, preferable in health science education or higher education setting. · Management and programming of simulation models highly desirable Preferred
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is an in-person or hybrid role, we cannot accommodate a fully-remote candidate for this role. What You Will Be Doing Model and simulate: Build and mesh 3D model geometries Develop math models and
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computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers
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at the interface of biological physics, agent-based simulations and machine learning to turn quantitative imaging data into a mechanistic, testable model of spindle positioning. In particular, we expect
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Theoretical Quantum Many-body Physics and Quantum Sensing at Indiana University Bloomington Fields: Quantum many-body theory, AMO–condensed matter interfaces, advanced numerical simulations, quantum sensing