Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
decision-making for complex infrastructure systems. This position offers an opportunity to contribute to interdisciplinary research at the intersection of civil engineering, machine learning, and systems
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
involving T cell transduction, CAR constructs, or gene editing tools. Prior experience with animal models of cancer or immune response. Willingness to learn and adapt to rapidly evolving experimental needs
-
systems specifications. Follow applicable trade specific codes, standards and regulations. Learn technical skills and apply new knowledge to solve problems. Select and use hand, power and machine tools
-
of Engineering. The appointment will be in the following department: Engineering Education. • Teach 21 credit hours per year of undergraduate courses in both Fundamentals of Engineering (which serves all College
-
than 30hrs a week) to teach undergraduate and/or graduate course(s) in the Department of Materials Science and Engineering for Fall/Spring/Summer semester. Hours will vary, pending course(s) available
-
position. Performance Objectives The successful candidate will teach the following course: History 3282 - History of the Soviet Union The candidate will hold office hours, and submit grades during the autumn
-
associated faculty position. Performance Objectives The successful candidate will teach the following course: History 2703: History of Public Health, Medicine, and Disease Candidate will also provide
-
, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
-
, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental