Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Nanyang Technological University
- NEW YORK UNIVERSITY ABU DHABI
- University of Pittsburgh
- AALTO UNIVERSITY
- ETH Zürich
- HAINAN BIELEFELD UNIVERSITY OF APPLIED SCIENCES (BiUH)
- Macquarie University
- Oregon State University
- Queen's University - Electrical and Computer Engineering, Smith Engineering
- University of South Carolina
- VIB
- 1 more »
- « less
-
Field
-
discipline. Strong background in machine learning, deep learning, and large language models. Experience working with large-scale datasets and distributed model training. Strong programming skills in Python
-
, Electrical Engineering, or a related field. Strong foundations in machine learning, deep learning, computer vision, and at least one of 3D/4D vision, reinforcement learning, or robotics. Proficiency in Python
-
. Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems. Work with real-time and historical air traffic data (e.g., ADS-B) to build
-
from the Finnish Meteorological Institute (FMI), as well as the DR will develop new and improved in-orbit E-sail experiments for future missions in lunar orbit and deep space. The DR will be enrolled
-
-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond. Veterans
-
1674: Mechatronic Systems, W 6:00 - 8:30 lecture, T 6:00 - 8:50 lab. Incumbent will be expected to teach this course in accordance with the ECE Department-approved syllabus for the entire term Fall 2026
-
1674: Mechatronic Systems, W 6:00 - 8:30 lecture, T 6:00 - 8:50 lab. Incumbent will be expected to teach this course in accordance with the ECE Department-approved syllabus for the entire term Fall 2026
-
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and
-
Models. Experience with deep learning frameworks such as PyTorch or TensorFlow. Proficiency in programming languages including C/C++, Python, Java, and Go. Familiarity with Digital Content Forensics
-
CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 2 hours agolibraries (e.g. SCR, Adios, HDF5 and concepts e.g., POSIX). • deep expertise in one or more supercomputing/HPC research areas. Examples of possible expertise (not an exhaustive list) include: o