-
Information Systems and Decision Sciences - Part-Time Lecturer Pool in Fullerton
The Department of Information Systems and Decision Sciences (ISDS) at CSU Fullerton invites applications for its Part-Time Lecturer Pool.
-
Registered Dietitian Nutritionist - (Registered Dietitian, Range I) - Student Health Services in San Francisco
With a mission of promoting health equity and developing the capacities for academic, personal, and professional success for all members of the SF State community, Student Health Services (SHS) works to shift positively the culture and social norms around health and wellness to increase students’ self-efficacy to make informed health decisions. Under the direction of the SHS director and lead physician, and in an ethnically and culturally diverse educational environment, the Registered Dietitian (RD) is responsible for obtaining and evaluating patient nutritional risks and deficiencies. The incumbent will provide medical nutrition therapy, and nutrition education not limited to healthy eating habits to patients. Additionally, the incumbent will work closely with SHS and other associated health professionals to coordinate care plans and support.
-
Closes
Lecturer - Business 324: Introduction to Business Analytics (Fall 2026, Mt. San Jacinto College Campus, Temecula) in San Marcos
This course introduces business analytics concepts and tools that are used in various business functions. The course consists of two distinct parts: predictive and prescriptive modeling/analytics. The predictive analytics section covers the use of statistical data in order to understand and solve business problems. Subjects include a review of descriptive statistics tools, hypothesis testing, ANOVA and simple/multiple regression analysis. Statistical data-mining models are also discussed. Prescriptive analytics section covers deterministic optimization models. Statistical software and spreadsheet optimization are introduced.
-
Closes
Lecturer - Business 324: Introduction to Business Analytics (Fall 2026, CSUSM Main campus) in San Marcos
This course introduces business analytics concepts and tools that are used in various business functions. The course consists of two distinct parts: predictive and prescriptive modeling/analytics. The predictive analytics section covers the use of statistical data in order to understand and solve business problems. Subjects include a review of descriptive statistics tools, hypothesis testing, ANOVA and simple/multiple regression analysis. Statistical data-mining models are also discussed. Prescriptive analytics section covers deterministic optimization models. Statistical software and spreadsheet optimization are introduced.
-
Meat Lab Lead in Fresno
Agricultural Operations is looking for a collaborative, knowledgeable, and dependable Meat Lab Lead. Apply Today!
We will email you new jobs that match this search.