CONTINUOUS Bargaining Unit: CNA - Registered Nurses Unit The Contra Costa County Health Services Department is offering an excellent opportunity for licensed, experienced nursing professionals interested in health care staff...

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 discovery. A background in biochemistry is highly...

Located just off Highway 280 in Menlo Park, Sharon Heights Golf & Country Club has been one of the top private golf and country clubs in the United States since opening in 1962. We have a proud history of providing excellent food, service and...

Job Description At IPS, we are global leaders in developing innovative solutions for the consulting, architecture, engineering, project controls, procurement, construction management, and CQV of technically complex facilities, primarily in the...

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) **This is a...

Additional Locations: NA Primary Locations: CA, Colma, 1400 Mission Road, 94014 Requisition ID: 201920 Position Overview Sales Arborist Invest in your future. Join one of the largest employee-owned companies in the...

Job Details Job Location Alameda - Alameda, CA Position Type Part Time Education Level 4 Year Degree Salary Range $19.50 -...

Company Overview Permit Advisors a Milrose Company is hiring a Project Manager! The Milrose Family of Companies-Milrose Consultants, Masterplan, Permit Advisors, SF Codes, McCormick Compliance...

Essential Duties * Support and lead pre-implementation mediation loading as required by pharmacy operations Standard Operating Procedures. * Perform first-call troubleshooting protocols for automated dispensing Timely escalation to...

About the Company Companies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality...