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data, the consortium aims to develop a robust model that can better predict transplantation outcomes. This innovative approach will contribute to more reliable donor kidney selection, reduced rejection
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Integrated fluidic, electromechanical, and optical micro- and nanosystems Biomedical engineering Biophotonics Tissue engineering Targeted modulation of cells Drug design Computational modeling & AI Research
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, understand, characterise, and model the effect of surface roughness on wall turbulence when out of equilibrium. Particular emphasis will be made on determining if any form of flow similarity exists across
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 15 days ago
processing and will involve EEG and MRI experiments as well as realistic modeling of biological neural networks. It is a cooperation between the TU Berlin, the TU Chemnitz, the Czech Academy of Sciences, and
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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models, real-time telemetry, and AI-enhanced analytics, the research aims to enable continuous simulation and verification across the entire ECU lifecycle—from early model-in-the-loop design to deployment
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an exciting opportunity to join a leading consortium at the cutting edge of satellite remote sensing, high-resolution plume modelling (MicroHH), and atmospheric chemistry transport models (LOTOS-EUROS, ECHAM
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Details Title Pre-Doctoral Fellowship (Profs. Laibson/Choi/Beshears) School Faculty of Arts and Sciences Department/Area Economics Position Description Economics professors David Laibson (Harvard
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship