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field in hand by May 2026. Preferred Qualifications: Experience in Thermal Spray Materials/Processes/Characterization/Modeling. Experience in Solid Mechanics/Thermomechanics/Finite Element Analysis
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malignancy. The project integrates mouse and iPSC models, CRISPR genome editing, molecular biology, flow cytometry, and single-cell multi-omics to dissect disease mechanisms. We are committed to mentoring
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About the Opportunity Summary: Research involves developing and implementing material models to predict microstructure, phase change and residual stress in processes in high energy processes in
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) mechanistic studies of lung fibrosis; 4) experience in working with mouse models ; 5) experience in bioinformatics such as ScRNAseq and ChIP-seq. Minimum education: Ph.D. or equivalent doctorate within
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models
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from EMG, motion capture, dynamometric, or stabilometric systems, mathematical modeling, biopotential analysis, bio-algorithms, or computational neuroscience projects); good command of English, enabling
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/Qualifications - Demonstrated expertise in advanced statistical techniques, such as: Multilevel modeling (HLM, mixed-effects models) Longitudinal and panel data analysis Structural equation modeling (SEM) Causal
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 2 months ago
networks, and computational modelling. Within the Department, we maintain strong synergies with the Neural Computation Group (PI: Andrej Bicanski ), which develops mechanistic computational models of brain
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About the Opportunity AI-Driven Ultrasound and Intelligent Sensing: We are seeking a postdoctoral researcher to work on quantitative ultrasound methods, focusing on the application of model-based