Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- Denmark
- France
- Netherlands
- Poland
- Spain
- Austria
- Belgium
- Luxembourg
- United Kingdom
- Finland
- Singapore
- Switzerland
- Canada
- Portugal
- China
- Czech
- Italy
- Romania
- Saudi Arabia
- Cyprus
- Ireland
- Bulgaria
- Slovenia
- Worldwide
- Andorra
- Brazil
- Hong Kong
- Japan
- Latvia
- Taiwan
- United Arab Emirates
- 25 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Science
- Engineering
- Economics
- Mathematics
- Humanities
- Chemistry
- Linguistics
- Materials Science
- Earth Sciences
- Physics
- Psychology
- Electrical Engineering
- Arts and Literature
- Education
- Environment
- Law
- Business
- Sports and Recreation
- Design
- Philosophy
- 13 more »
- « less
-
tasks that require coordinated base-arm-hand behaviors in dynamic environments. We seek candidates with a strong background in robotics and machine learning, and demonstrated experience in at least two of
-
the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
-
sheet evolution, methane hydrate fluxes, or applying machine learning to geosciences to reconstruct glacial histories and project future ice sheet behavior. Please read this interview for more details
-
energy consumption in information processing and machine learning (e.g., arXiv:2308.15905); Quantum phenomena in information processing: exploring how quantum effects can be utilized to process information
-
, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7
-
to conduct applied research (TRL>1) in the domain of quantum computing and/or machine learning; Possibility to file patent applications within the project; Funds to employ 3 other researchers: 1 postdoc and 2
-
and uncertainty mapping at satellite, airborne and drone levels. You will explore advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and
-
supervising doctoral students. Join us in shaping the future! Your role and goals Your primary task as a postdoc is to conduct research into various quantum algorithms and optimization methods, both
-
Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 20 days ago
, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory. Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable
-
computational models, applying statistical and machine learning methods, and integrating data across modalities to generate novel scientific insights. The Postdoctoral Fellow will lead manuscript preparation