Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Singapore
- Australia
- Sweden
- Netherlands
- Germany
- France
- Spain
- Portugal
- Austria
- Denmark
- United Arab Emirates
- Norway
- Canada
- Belgium
- Ireland
- Finland
- Switzerland
- China
- Italy
- Morocco
- Hong Kong
- Japan
- Luxembourg
- Czech
- Romania
- South Africa
- Poland
- Brazil
- India
- Croatia
- Cyprus
- Estonia
- New Zealand
- Saudi Arabia
- Taiwan
- Vietnam
- Armenia
- Bulgaria
- Colombia
- Europe
- Greece
- Lithuania
- Malta
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Science
- Biology
- Education
- Arts and Literature
- Mathematics
- Social Sciences
- Earth Sciences
- Materials Science
- Humanities
- Linguistics
- Psychology
- Environment
- Law
- Chemistry
- Electrical Engineering
- Sports and Recreation
- Philosophy
- Design
- Physics
- 14 more »
- « less
-
comparison to my peers. I am proficient in written and spoken English. During my courses or prior professional activities, I have gathered experience with machine/deep learning, and can demonstrate a strong
-
an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while
-
computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch
-
, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
-
and deep understanding of the global higher education landscape. The ability to thrive in a complex, fast-changing environment. The University of Leeds offers a range of benefits including excellent
-
Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
-
to develop and implement machine learning/deep learning tools for personalized medicine in cancer by exploiting electronic medical records and medical images in relation to cancer diagnosis and the
-
perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will
-
postdoctoral position, in collaboration with Demcon, focusing on off-road SLAM using lidar, camera, and IMU. Do you have a deep understanding of semantic segmentation, SLAM, sensor fusion (lidar, camera, IMU
-
tasks and zero-shot evaluation in linguistic analysis. Profile • Master’s degree (M2) or PhD in computer science, NLP, machine learning, deep learning, or a related field. • Strong experience in machine