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the MicroHH atmospheric model. Analysis of plume dynamics and NOx chemistry in the high-resolution simulations. Develop and refine data-driven methods for emission quantification. Apply your methods to real
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is therefore expect to have experience in at least one of these interdisciplinary areas: 1. Neuroscience and/or VLSI basic device physics. 2. Spike-based computing paradigms: theory and modeling. 3
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secondments at UCL – University College London and at University of Leeds (UK). We are looking for you! Do you want to be trained to develop multi-level thrombosis risk prediction models by integrating insights
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navigation. Building on our AI-driven reconstruction pipelines, the research will advance three core areas: robotic imaging (end-effector design, calibration, motion planning), 3D reconstruction (multi-view
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, physiology, genomics, transcriptomics, and computational modeling, we aim to (i) determine whether a newly discovered assemblage of diatoms of the genus Diploneis from Lake Tanganyika has diversified through
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are looking for you! Do you want to be trained to develop multi-level thrombosis risk prediction models by integrating insights from cell-, thrombus-, and organ-level perspectives? While being part of a
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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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Position: Bioprinting next generation functional tissues The field of tissue engineering and bioprinting is continually advancing to develop functional tissue models that more accurately mimic native tissue
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candidate should have graduated from a top-tier university and received a degree in electrical or mechanical engineering, physics or a related subject with an excellent academic track record. She/he is
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biology to create next-generation disease models. In collaboration with ETH Zürich (Prof. C. Halin) and the University of Bern (Prof. C. Bourquin), this project aims to advance understanding of the human