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for faculty, staff and student residents according to university and U.S. Postal Service's regulations. Collects, sorts, and/or delivers incoming and outgoing interdepartmental mail, USPS mail, and trackable
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California State University San Marcos | San Marcos, California | United States | about 12 hours ago
Apply now Job no:536712 Work type:Instructional Faculty - Temporary/Lecturer Location:San Marcos Categories:Unit 3 - CFA - California Faculty Association, Faculty - Mathematics/Statistics, Temporary
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undergraduate courses in mathematics consistent with departmental instructional needs. The successful candidate must have appropriate authorization to work in the U.S. before employment begins. Job Description
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Berkeley Lab’s Applied Mathematics and Computational Research Division seeks an AI Focused Biochemistry Postdoctoral Fellow with expertise in AI and foundation models (e.g., LLMs) for knowledge
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://cymath.iastate.edu/ ), a free mathematics tutoring program that supports elementary school students and strives to complement the cumulative nature of mathematics education at an early age. Working with the Director
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Qualifications High school and 3 years experience Requires a basic knowledge of grammar, spelling, punctuation and simple mathematical functions like percentages, ratios, etc. as might normally be acquired through
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School diploma; or equivalent experience Basic mathematical skills to quickly and accurately add, subtract, divide, and multiply whole numbers and decimals manually or using a calculator Good communication
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please contact Human Resources at 501-916-3180. For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180. Department: Mathematics
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and respond to questions from students, faculty, staff, and visitors Define problems, collect data, establish facts, and draw valid conclusions Perform mathematical computations such as addition
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Berkeley Lab’s Applied Mathematics and Computational Research Division seeks a Postdoctoral Scholar with expertise in AI and foundation models (e.g., LLMs) for knowledge discovery. A background in