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computational analysis of ongoing research projects focusing on the function of transcription factor (TF) networks in mediating cell fate transitions at the early stages of oncogenic transformation as
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one or more of the following areas: Programming, Algorithms and computational complexity, Programming languages and compilers, Computer graphics, and Parallel and GPU computing. A typical teaching
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scholarship program to pursue higher education Generous retirement plans with university match Learn more about working at UNL: https://go.unl.edu/aboutus As an EO employer, the University of Nebraska considers
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encourage candidates with a strong background and experience in theoretical, algorithmic, or applied research in biomedical informatics. Candidates should demonstrate a strong scholarly record of research
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collaborative, high-impact career development team and as a school liaison for the School of Engineering and Computing, in addition to designated industry career communities, building structural bridges between
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involved in the bioinformatic and analytic aspects of predictive modeling. MINIMUM JOB QUALIFICATIONS: A Ph.D. in bioinformatics, genetics, statistics, mathematical, physical, or computer
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implications for equity and access to justice. This position will support the development of a curriculum that critically examines law, technology, and inequality, including issues such as algorithmic bias
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on the Tuition Benefit Program. Preferences Strongly Preferred Skills: ● Solid background and working knowledge of computer science fundamentals including algorithms, data structures, and object-oriented
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will contribute to high-impact projects, including: 1. Developing and validating algorithms that extract data from the Epic EHR (e.g., large language models) via comparison with manually extracted data
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the essential functions of the job as outlined in the position description. Preferences Strongly Preferred Skills: ● Solid background and working knowledge of computer science fundamentals including algorithms