Sort by
Refine Your Search
-
Listed
-
Country
- United States
- Austria
- Australia
- United Kingdom
- France
- Sweden
- Denmark
- Singapore
- Belgium
- India
- Germany
- Spain
- China
- Ireland
- Netherlands
- Hong Kong
- Poland
- Italy
- Lithuania
- Luxembourg
- Bulgaria
- Czech
- Morocco
- Norway
- Switzerland
- Andorra
- Armenia
- Barbados
- Canada
- Europe
- Kyrgyzstan
- New Zealand
- South Africa
- United Arab Emirates
- 24 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Business
- Mathematics
- Environment
- Education
- Humanities
- Law
- Social Sciences
- Arts and Literature
- Chemistry
- Linguistics
- Philosophy
- Psychology
- Earth Sciences
- Electrical Engineering
- Materials Science
- Sports and Recreation
- Physics
- Design
- 14 more »
- « less
-
and geometric deep learning, or simulation-based inference. We welcome your unique perspective and are eager to learn how your track record, educational vision, and future research goals align with
-
analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets. Please include a cover letter with your application. Describe a deep learning project you have
-
letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational
-
atmospheric perturbations, and improving performance under realistic operational conditions. Main activities include: • Designing and developing deep learning models to correct wavefront sensor nonlinearities
-
Deployment Strategies - Model Compression: Investigate techniques such as quantization, pruning, and knowledge distillation to reduce the computational and memory footprint of deep learning models without
-
for supply chain and marketing optimization. The project will integrate machine learning, deep learning, foundation models, and interpretable AI approaches, ensuring scalability, robustness, and industrial
-
the competent authority of the Ministry of Higher Education, Research and Innovation (MESR). "Video content security in a deep learning coding architecture" Over the past few decades, numerous video compression
-
/deploying deep learning models and machine learning applications. Computer skills: Python (PyTorch, TensorFlow), databases (MySQL), 3D Slicer, ITK-SNAP, OpenCarp. Previous experience in research activity in
-
demonstrated track record in protein structure modelling methods, with hands‑on experience in protein or biologics design and engineering. Hands‑on experience with common machine learning / deep learning
-
physical models (including dispersion forces, magnetic effects, and ligand–solvent interactions), and train modern deep-learning methods to create smooth and reliable energy landscapes. A key goal is predict