Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- France
- Denmark
- Netherlands
- Spain
- Austria
- Belgium
- United Kingdom
- Poland
- Luxembourg
- Portugal
- China
- Singapore
- Canada
- Finland
- Switzerland
- Czech
- Ireland
- Italy
- Romania
- Saudi Arabia
- Cyprus
- Lithuania
- Slovenia
- United Arab Emirates
- Worldwide
- Andorra
- Brazil
- Bulgaria
- Hong Kong
- Japan
- Latvia
- Taiwan
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Science
- Engineering
- Economics
- Mathematics
- Humanities
- Chemistry
- Materials Science
- Linguistics
- Education
- Earth Sciences
- Physics
- Psychology
- Electrical Engineering
- Environment
- Law
- Arts and Literature
- Business
- Sports and Recreation
- Design
- Philosophy
- 13 more »
- « less
-
-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
-
learning methods development and application. The postdoc associates will be exposed to rich multi-omics data, a variety of diseases, advanced statistical and machine learning methods and wide collaborations
-
to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
-
and Liu, Supervised learning in physical networks: From machine learning to learning machines, PRX 11, 021045 (2021) [2] Stern and Murugan, Learning without neurons in physical systems, Ann Rev Cond
-
., computational learning theory, expressiveness of transformers and other models, xAI, formal methods) or equivalent; willingness to conduct research on artificial intelligence/machine learning, combined with
-
Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
-
of belonging. The Postdoctoral Associate also will participate in weekly seminars with other Active Learning Initiative postdocs, receiving training and support in designing and implementing research-based
-
interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
-
Biology, Biology, Machine Learning, Statistics, Medicine, Physics, Chemistry, Engineering, Mathematics, Computer Science, or other related fields) coupled with direct experience in computational research