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theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and
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) Employment Type: Full - time (35 hours a week) Duration: 2-Year Fixed Term (possible extension, funding dependant) Remuneration: Academic Level B $133k - $156k base (+17% super, plus leave loading) Work rights
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific
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editing, high-throughput CRISPRko/i/a screening, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically
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statistics and standardize complex economic and ecological data into index-based scores for all Minnesota lakes greater than 10 acres. ● Coordinate with team members to integrate these ecosystem service values
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-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be responsible for the design and testing of original machine-learning based methods for fetal heart
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candidates will have experience using rodent behavioral models and/or the techniques listed above, as well as a record of research productivity. Required License/Registration/Certification N/A Physical