Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Austria
- France
- United Kingdom
- Singapore
- Germany
- Canada
- Norway
- Netherlands
- Spain
- Australia
- Belgium
- United Arab Emirates
- Sweden
- Luxembourg
- Denmark
- India
- Switzerland
- China
- Finland
- Czech
- Italy
- Morocco
- Poland
- Romania
- South Africa
- Barbados
- Europe
- Hong Kong
- Japan
- New Zealand
- Portugal
- Saudi Arabia
- Worldwide
- 24 more »
- « less
-
Program
-
Field
-
Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology
-
learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software
-
and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
-
Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models
-
Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
-
Science, Biostatistics, or a closely related area. Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP. Demonstrated working experience
-
environment to study these topics given its expertise in Machine and Deep Learning, Computer Vision, Signal Processing, and Multimedia. Also, its declared vision to work especially in presence of imperfect data
-
the field of frugal or green AI TECHNICAL SPHERE You have a proven experience in frugal, green or low-resource AI Strong grasp of deep learning architectures (CNN, RNN, Transformers, LLMs). Experience in fine
-
samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
-
-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025