Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
-
documentation. Stay up-to-date with the latest advancements in machine learning, AI for biology, and the rapidly evolving landscape of public molecular and cellular datasets. Education and Experience: M.S. or PhD
-
federated learning, AI security and privacy, quantum machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease
-
Experience A PhD in Physics, Astronomy, Computer Science, or a closely related field is required. Experience with HPC systems, jax, python, or similar programming languages, machine learning, and transient/AGN
-
representation and inference; machine learning; multi-agent systems; natural language processing; responsible, trustworthy, and explainable AI (RAI/XAI); and/or capstone/practicum courses connecting AI to real
-
of the B.S. in Artificial Intelligence in Fall 2026. Position: Assistant Professor, Civil Engineering + AI Position Summary: Civil engineering is being transformed by AI and machine learning to improve
-
intelligence (AI) and machine learning (ML) through automation, design optimization, predictive maintenance, quality control, and many other enhancements with use of AI to produce more efficient manufacturing
-
architectural history, upper-level undergraduate courses in their field, and graduate seminars. Advising of majors, minors, and MA and PhD students is expected, as is service to the department, college
-
clinicians Qualifications and Requirements: A PhD in Mechanical, Electrical, Biomedical Engineering, or related fields by the start date Prior experience in neural signal processing, machine learning, control
-
candidates who can build a strong methodological research base in areas of Operations Research, including optimization, stochastics, simulation, machine learning and artificial intelligence. Applicants at all