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ancient metabolomics and natural products, carbohydrate-active enzymes and carbohydrate metabolism, and protein language models for ancient metagenomics. Our research AEGIS is a pioneering research centre
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diffraction, modeling. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7198-MELDOG-046/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut Jean
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simulations, data analysis, model development) (Highly resolved simulations, data analysis, model development) Application of these models to carbon capture process Your Qualifications: The candidate must have
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existing studies, lake model simulations for emulator development and calibration. Use the emulator in a Bayesian statistical framework to quantitatively interpret paleoclimate proxy time series. Lead
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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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accelerator physics and deep knowledge in RF technology, preferably x-band Experience with simulation codes, such es elegant, to model the beam dynamics Hands-on experience building accelerators Experience with
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modelling (numerical simulations, e.g. matlab or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and
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disabled persons or persons of equal status will be given priority in accordance with SGB IX. The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network (https
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language models and knowledge representations of knowledge graphs under the Pytorch environment are expected. Target data are written in English. Where to apply Website https://jrecin.jst.go.jp/seek