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Field
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Immunology, Molecular Biology, Chemistry, Computational Biology or related fields. Expertise in immunological assays and flow cytometry. Advanced skills in data analysis using bioinformatics tools and
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SubDivision-Department: UNT-College of Engineering Department: UNT-Mechanical Engineering-130340 Job Location: Denton Salary: Compensation is competitive and commensurate with the candidate’s qualifications
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data dissemination capabilities for making high-resolution earth system model output available to a diverse audience. Candidates must have a PhD in computer science, environmental and physical sciences
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or her research program in public policy, preferably with applications to the public policy dimensions of the energy transition, climate change, or circular economy. The postdoctoral fellow will also
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to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of â˜omicsâ™ datasets. Hands-on experience
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– Trustworthy Computing Group Context of the position The Trustworthy Computing Group in the Department of Electrical and Computer Engineering (ECE) at the University of Delaware (UD) invites applications for a
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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well as to other tasks related to this research program in order to solve important problems. He/she will likely implement different algorithms in Python and potentially other programming languages. The postdoctoral
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or C++ programming languages, Matlab, and Latex software. Minimum Qualifications Ph.D. in Electrical and Computer Engineering and must be conferred prior to employment. Preferred Qualifications
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding