Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Switzerland
- Belgium
- Australia
- Singapore
- Austria
- United Arab Emirates
- Canada
- Sweden
- China
- Denmark
- Luxembourg
- Netherlands
- Hong Kong
- Portugal
- Finland
- France
- Ireland
- Poland
- Norway
- Saudi Arabia
- Taiwan
- Europe
- Iceland
- Italy
- South Africa
- Estonia
- Israel
- Japan
- Slovenia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Chemistry
- Mathematics
- Science
- Education
- Earth Sciences
- Psychology
- Business
- Environment
- Linguistics
- Arts and Literature
- Electrical Engineering
- Sports and Recreation
- Materials Science
- Social Sciences
- Physics
- Humanities
- Law
- Statistics
- 13 more »
- « less
-
application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
-
Publication list Contact details of two refereesPlease send your application to [nicola.serra+sinergia@uzh.ch]. Further information about [Department of Mathematical Modeling and Machine Learning or Department
-
processing and hybrid BCI design Machine learning (ML) Bioinspired control systems Neuroplasticity and motor recovery Real-time control of soft exoskeletons Your Role As a PhD candidate, you will: Develop and
-
R&D units. In what concerns the admission requirements for this research grant in particular: - Current enrolment in a master’s-level programme (MSc or equivalent); - Proven foundation in machine
-
will contribute to the ERA Chair in Sustainable Futures project (SustainERA, DOI: 10.3030/101186958 , https://www.tlu.ee/sustainera ). The project is led by Prof Anu Realo and Prof Kai Pata and is funded
-
research centers. CADIA provides a collaborative environment where researchers tackle challenging problems in AI, machine learning, and human-computer interaction. The center offers regular seminars
-
teaching practices including blended learning and teaching, face-to-face and on-line teaching, and the use of case studies, simulations and/or problem-solving approaches. Strong written and verbal
-
Europe | about 2 months ago
manufacturing, development of machine learning algorithms and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen
-
interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with
-
are in engineering sciences, mathematics, computer sciences, natural sciences and medicine. Our economics, social sciences and humanities are indispensable and crucial disciplines in a modern university