Sort by
Refine Your Search
-
of twelve credits per semester in support of our undergraduate and/or graduate degree programs. We are particularly interested in candidates with experience teaching courses in algorithms, artificial
-
Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability
-
cutting-edge research and work closely with experienced professionals in the field. Duties and Responsibilities · Assist in data collection and preprocessing · Implement machine learning algorithms
-
challenges in neuroscience, healthcare, and computing; and developing machine learning algorithms to analyze large experimental datasets that deepen our understanding of information processing in the brain
-
an advanced degree (MA, MPA, MPP, JD, PhD, etc.) to teach one or more 1 to 3 credit courses over 5 to 15 weeks during the Spring 2026 semester. The course topic should relate to the semester theme of “National
-
quantum/classical algorithm for the description of collisional energy transfer, with focus on vibrational energy transfer. - Write and test MQCT code. Conduct computer simulations with a growing degree of
-
Responsibilities Perform remote sensing research, including collection of drone and satellite data, development of machine learning algorithms using geographic information systems software, and development
-
(providing detailed information about each work to be read by algorithms). 3. Manage relationships with authors, agents, buyers, and reviewers. Carry out permissions research and royalty work (coordinating
-
toward the terminal degree. Preferred Knowledge, Skills and Abilities PhD in History or closely related field. Experience teaching course subject (s). Department History Posting Date 07/07/2025 Closing
-
preferred or substantial progress toward the terminal degree. Preferred Knowledge, Skills and Abilities PhD in History or closely related field. Experience teaching course subject (s). Department History