Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Education
- Biology
- Science
- Mathematics
- Arts and Literature
- Materials Science
- Social Sciences
- Law
- Linguistics
- Earth Sciences
- Psychology
- Chemistry
- Design
- Humanities
- Sports and Recreation
- Environment
- Electrical Engineering
- Physics
- Philosophy
- 14 more »
- « less
-
of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
-
of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
-
deep learning, optimisation, sampling. Good coding skills for numerical simulation (Pytorch, Python, MATLAB, ...). A general interest in health and biology is welcome. Practical information MORPHEME
-
Summer Student: Geospatial Deep Learning for Forestry Applications Based in Rotorua Approximate dates: 1 December 2025 - 20 February 2026 As part of the Government's reset of the science, innovation
-
on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected to develop deep learning models for analyzing whole-slide histopathology
-
Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
-
and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
-
+ benefits. AI and Deep Learning for Genomics, Transcriptomics, and Bioinformatics Job Summary The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking one
-
the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both
-
innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be