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-frame-rate acquisition, coded excitation, tissue harmonic imaging, adaptive/specular beamforming, and functional imaging approaches such as Doppler and elastography. Drive the integration of hardware and
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intersection of physiology, computational analysis, and aging neuroscience. Autonomic function shifts dramatically across the adult lifespan, yet these midlife changes are largely missing from current models
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, resilience, and land stewardship, yet it remains underrepresented in land-use and conservation decision-making. This project will generate soil microbiome data, support protocol harmonization, and work with
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, reinforcement learning, simulation, and counterfactual analysis. Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. Ontological engineering, knowledge
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, and collaborator calls. Maintains and develops up-to-date knowledge of current information technology techniques and tools, especially as they apply to epidemiological analysis. Other related duties as
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compliance workflow dedicated to Grid-following / Grid-forming functionalities and use cases: Dynamic Stability and Steady-state analysis, Performance validation tools and studies linked to Transients (faults
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analyses. Contribute to data harmonization, data quality assessment, missing data strategies, data anonymization and data sharing procedures. Contribute to protocols, statistical analysis plans and reporting
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, geometry, dynamical systems, optimization, topological data analysis, harmonic analysis, statistics, or mathematical aspects of machine learning are encouraged to apply. The position is particularly suitable
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Epidemiology Apply for this job See advertisement About the position A three-year position as Postdoctoral Research Fellow in machine learning and artificial intelligence in epidemiology is available
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. Qualifications Preferred Skills Analysis of shotgun metagenomics sequencing and metabolomics data Integration of single-cell RNA-seq with proteomic and metabolomic datasets Application of machine learning and AI