Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- United Kingdom
- Netherlands
- Portugal
- Sweden
- Norway
- Belgium
- Denmark
- Switzerland
- Spain
- France
- Austria
- Australia
- United Arab Emirates
- Ireland
- Czech
- Luxembourg
- Canada
- Poland
- Estonia
- New Zealand
- Hong Kong
- India
- Italy
- Romania
- Armenia
- Brazil
- Finland
- Indonesia
- Israel
- Latvia
- Singapore
- Slovenia
- Vietnam
- 25 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Science
- Economics
- Biology
- Mathematics
- Psychology
- Arts and Literature
- Education
- Social Sciences
- Business
- Chemistry
- Environment
- Humanities
- Linguistics
- Materials Science
- Earth Sciences
- Electrical Engineering
- Law
- Design
- Philosophy
- Physics
- Sports and Recreation
- 14 more »
- « less
-
. Machine learning will assist in artifact correction, segmentation, and material classification. By combining experimental imaging, simulation, and data-driven interpretation, this approach will deliver high
-
federated learning, AI security and privacy, quantum machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease
-
disconnectivity in brain networks relates to symptom networks and recovery trajectories in psychiatric patients. Apply and further develop methods from network science, machine learning, and computational
-
this limitation in the use of satellite observations by make a direct use of radiance observations retrieved by satellites using machine learning without the need of radiative transfer calculations. The new model
-
apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations
-
group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
-
Qualifications Minimum Education and Experience PhD in Nursing History of research and scholarship in clinical settings Superior interpersonal skills and robust ability to build programs of collaboration Passion
-
Engineering to educate the next generation of global leaders. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission
-
Energy Storage! Fully funded 4-year PhD Studentship in Chemistry - Machine Learning-Accelerated Quantum Chemical Modelling of Molecular Junctions and Surface Catalytic Reactions PhD Studentship: Taking
-
catalysts for the synthesis of a range of industrially valuable compounds. This PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning