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years of relevant experience. Preferred Qualifications and Skills Bachelor's and/or Master's Degree in Computer Science or a related field. Knowledge in programming with object-oriented languages like C
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), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position
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vision, robotics, machine learning and natural language processing (CSRankings) and were 7th in the UK for REF2021 outputs in Computer Science research. CVSSP and Computer Science are at the core of the
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of the Computer Science program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university
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research program that comprises basic as well as applied research. According to domestic legal guidelines (TAppV) the successful applicant will be responsible for teaching veterinary students in Virology and
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in mathematics, computer science, or computer-related field, or equivalent coursework or technical training. Experience Work requires one year of related programming, analytical, or technical training
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: 6475408 Tenure-Track Assistant Professor in English Literature Location: Notre Dame, IN Open Date: Aug 15, 2025 Deadline: Oct 01, 2025 at 11:59 PM Eastern Time Description:The Program of
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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience
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University of California Agriculture and Natural Resources | Ukiah, California | United States | about 11 hours ago
presentation skills. Proficient in use of Windows-based computers with knowledge of Microsoft Office programs (Excel, Word, PowerPoint). Preferred Skills: Bilingual English/Spanish Demonstrated ability
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on delivering innovative data science solutions for medicines management. This 4-year Programme will develop and apply statistical methods using large linked electronic health records to identify adverse drug