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Field
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will generate a wide range of contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours 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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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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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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in a discipline related to “Greenhouse gas emissions modelling; Reduced-complexity modelling of the land surface carbon cycle; Climate modelling; Climate mitigation modelling”; demonstrate expertise in
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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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-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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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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for automatic species identification, the use of various modelling approaches (such as generalised linear models or mixed models), spatial analysis of the movement of animal species tracked by GPS, analysis