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photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and foreign funds
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low-fidelity and high-fidelity models for emissions, trajectories, and re-entry. Proficiency in numerical modelling and programming (e.g., Python, MATLAB, C/C++/Fortran). Ability to work efficiently and
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models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs FAIR REMUNERATION: Depending on your existing
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data analysis and software (e.g. SAS); Knowledgeable in the behavior, failure, and numerical models of solids such as metals, composite, soil, wood, and concrete; and Good verbal and written
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services. The innovative application of machine learning to exploit satellite data within numerical modelling links to other scientific applications beyond those of the atmosphere. The project builds
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practical part, related to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements
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component based on the systemic study of stochastic models with Hermite random perturbation and also with a significant practical part, related to the effective computation of the data and numerical
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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mediated synthesis in the cortex of a healthy adrenal gland and implementing them into numerical simulation codes for handling complicated spatial profiles. Validating the models by comparing
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in Electrical Engineering or a closely related field. Has a strong research track record in electromagnetic modeling techniques and multiphysics systems. Demonstrates expertise in: Advanced numerical