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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 35 minutes ago
efficacy studies in relevant mouse models. These studies will expose the successful candidate to cutting-edge prime editor engineering approaches and the delivery of these reagents in vivo via AAV or lipid
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inhalation exposures. We use in vitro, rodent, and non-rodent models to achieve our study objectives. We will employ various techniques/methods such as ELISA, multiplex MSD panel assays, flow cytometry, bulk
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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background in immunology, flow cytometry, as well as experience in rodent models. The selected candidate will be expected to work independently while interacting in a collaborative environment. Education
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the duties. Work in this field includes the design, modelling, realization, and characterization of nanophotonic neuromorphic components based on III-V nanowires and other nanostructures. It will also include
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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cleaning, statistical analysis, and computational modeling. Other duties may include assistance in the preparation of research documents and reports. The student will use Stata and Matlab to assist
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include: climate dynamics in both the modern and past; ice sheet and ocean dynamics; marine geology and geophysics; solid earth geophysics and tectonics; and planetary geophysics and habitability. UTIG is
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power