Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
resolve issues or improve processes Advanced computer and related software skills to include Word, Excel, PowerPoint, Outlook, Internet, etc. Ability to collaborate and communicate with individuals at all
-
can focus on what matters most: learning, discovery, and innovation. What You’ll Do Address technical issues, ensuring quick restoration of service or proper escalation for seamless campus operations
-
and effectively. Why Choose Purdue in Indianapolis? Grow Your Career : Access continuous learning opportunities and professional development to expand your technical expertise. Collaborate in a Diverse
-
required. Computer skills preferred. Experience in landscape and turf irrigation systems is preferred. Equipment operation (i.e. backhoe, bobcat, tree spade, tractors, mowers, etc.) required. Knowledge
-
the development of secure, scalable, and innovative data solutions to support research, education, and outreach initiatives. This senior-level role requires deep expertise in machine learning—especially large
-
. Skills required: Superior communication skills (spoken, written, group, individual) Motivation to increase enrollment with minimal supervision. Advanced computer skills with working experience in word
-
between Land Grant University research and Indiana residents by creating innovative learning opportunities that address local issues. Dedicated to helping improve the quality of life for current and future
-
to support patient needs. Typical shifts are M-F with an after hours on-call rotation. All veterinary technicians in the hospital have the opportunity to continually learn new skills and techniques
-
conventional, barrier, and barn housing. This position will learn and perform husbandry and health checks for all species on campus as well as any new species that arrive for future studies. Change cages/clean
-
Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative