Sort by
Refine Your Search
-
development in AI, Machine Learning, Deep Learning, and High-Performance Computing (HPC) to assist in the design of plug-and-play AI solutions for three major use-inspired science cases (digital agriculture
-
, Automation Anywhere). Deep understanding of AI/ML fundamentals, including supervised/unsupervised learning, NLP, computer vision, and generative models. Familiarity with tools and frameworks like TensorFlow
-
is seeking a qualified and enthusiastic Semester Lecturer to teach ENR 3200: Environmental and Natural Resources Policy during the Summer 2025 semester at Stone Laboratory, located in Put-In-Bay, Ohio
-
data science stack and general frameworks. Experience with High Performance Computing, cloud computing platforms. Experience with Artificial Intelligence / Machine Learning, deep learning frameworks
-
| Technology Commercialization The Licensing Officer is responsible for cultivating and sustaining deep relationships with university faculty and staff creators and developers of innovations in the College
-
, 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
-
, display cooking, deep frying, grilling and steaming; ability to weigh and measure ingredients, ability to properly use knives and standard kitchen equipment; knowledge of garnish theory and ability
-
Department: Academic Affairs Administration | Teaching and Learning Institute About the Michael V. Drake Institute for Teaching and Learning The Drake Institute for Teaching and Learning was launched in autumn
-
. Jianyang Gu. This position works closely with the Imageomics team to assist with the collecting, generating, and cleaning data for advancing the Imageomics team’s computer vision and deep learning algorithms
-
bioinformatics workflows. The role requires deep expertise in Linux and Windows systems, cloud computing, and the ability to collaborate effectively with research scientists and cross-disciplinary teams