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Laboratory for Artificial Intelligence (the AI Lab) and will receive a competitive salary, benefits, office and equipment, computer resources, and yearly research support. Appointments are for one year with
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sponsored Postdoctoral Fellowship in Biomedical Informatics . Its training prepares one for a career in academia or industry, performing research in the field of Biomedical Informatics. There is also
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universities. Good access to modern laboratories, computing facilities, and field sites (e.g., high mountain lakes, protected areas). Collaboration in multidisciplinary teams, often with international members
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its
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phenotypes in warm water aquaculture species. The fellow will learn to utilize genome-scale datasets from host-pathogen interaction studies along with high-performance computing resources to answer scientific
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for funding agencies and stakeholders. Job Requirements: A PhD degree in Mathematics, Geophysics, Physics, Computer Sciences, or related areas. Strong background in numerical modeling and high-performance
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, or computer sciences and the ability to work across disciplinary boundaries to generate rigorous, high-impact insights. There are no teaching obligations for this position. Basic Qualifications: A Ph.D. or
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to complex, multimodal data. Hands-on experience with high-performance computing (HPC) or cloud-based big-data pipelines. Experience with large-scale human genomic, omics, or brain imaging datasets. Strong
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large-scale microbiome or pathogen genomics datasets. They will be proficient in one or more programming languages (e.g., Python or R) and they will have knowledge of Linux/Unix, SQL, and high-performance