Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Stanford's
-
optoelectronic devices) while also connecting to application-driven areas of Electrical Engineering, such as Power and Cyber-Physical Systems, Machine Learning, and Intelligent Energy Systems. We particularly
-
., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1833. Springer, Cham. https://doi.org/10.1007/978-3-031-35992-7_2 Familoni
-
California State University, Long Beach | Long Beach, California | United States | about 13 hours ago
subfield involving large data that may require the use of tools such as machine learning or artificial intelligence or computationally intensive simulations Potential for attracting external funding
-
assistant, and have expertise to teach foundational AI courses such as introduction to AI, machine learning, deep learning, and large language models, as well as advanced AI courses aligned with
-
with machine learning approaches Knowledge of muscle mechanics (Hill muscle model or similar) Previous work on simulated bodies or animal locomotion Your Role You will work collaboratively with a
-
, computer scientists, and technology innovators. Located in the heart of Las Vegas, the College serves a diverse student population and offers strong academic programs in electrical and computer engineering
-
, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information
-
physiology is an asset Experience in statistics and data analysis of large data sets (including time series analyses and machine learning) Good programming skills Very good communication and interpersonal
-
: The Department of Computational and Data Sciences (CDS) (https://sciences.gmu.edu/cds) at George Mason University (GMU) is a rapidly growing department for data science and computing innovation. Part of