Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- France
- Netherlands
- Denmark
- Spain
- Austria
- United Kingdom
- Belgium
- Luxembourg
- Poland
- China
- Portugal
- Singapore
- Canada
- Finland
- Switzerland
- Czech
- Italy
- Romania
- Saudi Arabia
- Cyprus
- Ireland
- 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
- Chemistry
- Humanities
- Materials Science
- Linguistics
- Education
- Psychology
- Earth Sciences
- Physics
- Environment
- Electrical Engineering
- Law
- Arts and Literature
- Business
- Design
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
-
astrophysics (completed by the start date), demonstrated experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in
-
related field Strong background in data analysis, particularly with behavior data, functional ultrasound (fUS) or other neuroimaging modalities Proficiency in statistical analysis, machine learning, and
-
learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and scientific computing, contributing both methodological innovation and
-
02215, United States of America [map ] Subject Areas: Computer Science / Artificial Intelligence , Data Science , Machine Learning , Software Engineering Artificial Intelligence / Artificial
-
=50415 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Advanced skills in Machine Learning and Artificial Intelligence Proficiency in spoken and written English
-
subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
-
expertise in machine learning or computational modelling who are eager to advance conceptual innovation toward practical industrial deployment. Qualifications PhD in Computer Science, Machine Learning
-
excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market
-
management and planning skills; strong problem-solving and organizational skills; strong computer experience with Microsoft Office suite; and experience with or willingness to learn new laboratory management