Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Netherlands
- Germany
- France
- Norway
- Denmark
- United Kingdom
- Spain
- Austria
- Poland
- Belgium
- Portugal
- Switzerland
- China
- Luxembourg
- Canada
- Finland
- Ireland
- Morocco
- Saudi Arabia
- Singapore
- Czech
- Lithuania
- United Arab Emirates
- Australia
- Brazil
- Hong Kong
- Italy
- Japan
- Slovenia
- Andorra
- Bulgaria
- Cyprus
- Estonia
- Greece
- Romania
- South Africa
- Taiwan
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Science
- Biology
- Engineering
- Economics
- Materials Science
- Mathematics
- Chemistry
- Earth Sciences
- Environment
- Linguistics
- Psychology
- Humanities
- Electrical Engineering
- Arts and Literature
- Physics
- Business
- Education
- Law
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
-
the production of polymer latexes that involves a complex, heterogeneous polymerization system and leads to polymers with a diverse range of structures. This project looks to use machine learning to better target
-
• Trainees (postdocs and students): 45 • Research spans eight hubs—Statistical Learning & Data Science; Genomics & Genetics; Imaging; Mobile & Wearable Data Science; Epidemiology; Health Policy; Medical
-
: https://academicpositions.harvard.edu/postings/14695 Applications accepted through March 3rd. Share this post: Tags: Teaching Opportunity , Unique Postdoc Opportunity Return to blog Categories
-
performance guarantees. Experience with motion planning, stabilization, and obstacle avoidance algorithms in dynamic or uncertain environments. Familiarity with learning-based methods (e.g., machine learning
-
and development of perception stacks for autonomous mobile systems in general in any field Machine learning/deep learning experience applied to perception and any experience with deep Learning
-
administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Job vacancy starting: 01.02.2026 (MM-DD
-
on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/289326
-
neuroscience. The position is open under specific projects as well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand
-
hardware Experience with atomic layer deposition and process development Experience with thin film and materials characterization Strong background in computational materials science and machine learning