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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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— including social epidemiologists, data scientists, and policy researchers — and will be involved in all aspects of the research process, including: Analyzing rich datasets for publications Developing and
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process please notify the Human Resources office at 906-487-2280 or [email protected]. Other Conditions of Employment: Please note that successful applicants are responsible for ensuring their eligibility
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at advancing hydrology and water quality assessment across Florida. In this role, you will contribute to the development of a comprehensive watershed system model that simulates both natural processes and human
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of iPSCs and immunology techniques like flow cytometry. Experience with rodent CNS surgery, including vagus nerve stimulation, is an asset. Applicants should be highly motivated and creative, have excellent
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professional references (name, title, affiliation, email, and phone). Letters of recommendation may be requested later in the search process. All candidates for employment are subject to a pre-employment
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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). Contact information for three professional references (references will not be contacted until the applicant advances to a later stage of the selection process). One or two examples of scholarly writing (e.g
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
experiences: mechanistic understanding of ecosystem functioning and processes, satellite remote sensing, processing of large data sets, machine learning/deep learning, Earth system modeling, and synthesis of in
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proteomics while developing expertise for independent work. Responsibilities: Conduct research aimed at profiling proteome changes in cancerous environments, during process of regeneration and/or in response