Head of Computer Science Department of Computer Science College of Science & Mathematics Rowan University The College of Science & Mathematics at Rowan University invites applications for the position of Head, Department of Computer Science. This
The Computer Science Department invites applications for adjunct faculty positions. As one of six departments in the College of Science & Mathematics, the department offers both undergraduate and graduate programs in Computer Science, Data Science, Computing &
Senior Group Risk Analyst Work Location: New York, New York, United States of America Hours: 40 Pay Details: $72,280 - $117,520 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth
Automotive Technician BMW of MT. Laurel in MT. Laurel, NJ has immediate opportunities for technicians to become part of the BMW family! As a BMW Technician, you will be responsible for performing diagnoses, repairs, and maintenance
Essential Duties and Responsibilities: - Responsible for technical solutions and pricing regarding new RFPs, RFIs. - Serve as subject matter expert to assist projects on technical matters and address needs of the client and other stakeholders
Essential Duties and Responsibilities: - Responsible for leading the AI & Data Accelerators enterprise portfolio, managing engagements in terms of scope, deliverables, budget, and enterprise commitments. - Develop end-to-end process improvement strategy and manage execution of
Essential Duties and Responsibilities: - Complete cost allocation plans for assigned clients. - Obtain contract renewals for multiple clients. - Manage relationships with multiple clients as well as project staff responsible for projects. - Support leadership
Essential Duties and Responsibilities: - Collaborate with project managers on various initiatives and projects to track progress and provide support as necessary. - Support leadership in ensuring that the project is delivered to specifications, is on
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using