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optimizing their functional behavior. The goal of this postdoctoral project is to carry out state-of-the-art experimental research on mechanical properties of HEA NPs with the intent of elucidating the link
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(multiscale, QSP, PBPK, PK-PD).Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data.Perform sensitivity and uncertainty analyses to assess robustness
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site, the Pprime institute is recruiting a researcher to work on of constant or modulated circulation around moving airfoils. The project aims at defining and optimizing blade kinematics in order to
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consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
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NAnoparticles by combining experimental and numerical approaches ), funded in 2024 by ANR – The French National Research Agency. Nanoparticle (NP) synthesis is a viable way of pursuing the production of next
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-of-the-art experimental techniques, innovative methodologies, and/or numerical models to make fundamental advances to existing literature. Duties will include but are not limited to: Helping develop novel
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Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model
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, independent research, and the ability to work professionally with minimal supervision and direction ● Strong computational background ● Methodological expertise in one or more of: numerical optimization
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Full time: 35 hours per week Fixed term: 36 months (with possible extension to 48 months) We are looking for a talented and ambitious early career researcher to work on the project “Numerical
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(f/m/d) full time, initially limited until 31.12.2028 Remuneration according to TV-L The Göttingen Campus is hosting numerous prestigious and internationally renowned research institutions