Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
able to teach and critique performance enhancement theories and techniques (in the education of strength, power and conditioning, nutrition, speed, quickness and agility). Additionally, this position
-
with biological tissue. Duties of the position will include designing optical spectroscopic imaging technology, using numerical simulation and machine learning tools to extract diagnostically-relevant
-
communicate effectively and clearly - Proven ability to operate and manage the demands of a multi-line telephone in a professional and effective manner - Expertise in computer software: word processing and
-
understanding of complex charitable giving and develop impactful relationships with donors who are considering, or may consider, gifts to the University. They will have an appetite for constant learning
-
maintenance, augmented reality/virtual reality, learning neural networks, cloud-based infrastructure and services, and robotics. Responsibilities for System Administrator • Assist in Cybersecurity Planning and
-
, creativity, and ability to get along with widely diverse personalities *Basic computer skills *Must have CPO (Certified Pool Operator) license or acquire within 60 days in order to perform basic maintenance
-
, ensuring a seamless and conducive learning environment for our students, faculty and staff. Your responsibilities will encompass managing laboratory resources, maintaining equipment, and implementing safety
-
to join our UDit division as an Academic IT Client Service Analyst. This dynamic role offers an opportunity to contribute to the University's mission of excellence in teaching, learning, and research while
-
of machine learning to enhance and guide physics-based computations and experiments. Research goals linked to aerospace applications are particularly relevant, as are approaches that holistically involve
-
the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive correlation between in-situ process data and end part quality