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, clinical patient data mining, and to develop prediction models to optimize care and practice. Responsibilities Perform cost-effectiveness analyses and clinical patient data mining Develop prediction models
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computer systems. Initiates, designs, executes and sustains metadata for collections of digital objects. * Coordinates reviews of data models and data definitions. Develops both conceptual and detailed data
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experience in molecular and cellular neurobiology to study neuronal regeneration and preservation in retinal mouse models of injury and disease. This project will examine how cellular metabolism impacts
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Scheduled Hours 40 Position Summary Position focuses on developing and applying large language models (LLMs) and deep learning systems to accelerate scientific discovery in the biomedical field
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animal models. The work will include: Biochemical Analyses: Investigating molecular pathways and biomarkers. Cell Culture and Imaging: Utilizing cell and tissue imaging techniques to study mechanisms
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stations around the state to carry out this mission. The Survey has been a model for statewide archeological programs in the United States and around the world. AAS web home page: http://archeology.uark.edu
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for this position. More About This Job Preferred Qualifications: The ideal candidate will have strong expertise in cancer biology and in vivo/in vitro model systems, with the added ability to perform basic
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the contracted resource and adoptive parent training program model and the contracted home study model. The person in this position is responsible for delivering the contracted training curriculum and home study
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Development. Required Qualifications Bachelor’s Degree in computer science, data science, electrical engineering, or any other science/engineering field with a focus on AI, computation, large language models
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the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan is recruiting a post-doctoral researcher to develop computational models to study the spatial