Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- INESC TEC
- Harvard University
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- NTNU Norwegian University of Science and Technology
- University of Nottingham
- University of Oslo
- Northeastern University
- UNIVERSITY OF HELSINKI
- Universidade de Aveiro
- University of Hertfordshire;
- University of New South Wales
- Curtin University
- FCiências.ID
- Genentech
- Institut national de la recherche scientifique (INRS)
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Macquarie University
- Monash University
- Nanyang Technological University
- Nature Careers
- Nova School of Business and Economics
- RCSI - Royal College of Surgeons in Ireland
- Simons Foundation/Flatiron Institute
- UNIVERSITY OF SURREY
- University of British Columbia
- University of Southern Denmark
- University of Turku
- 19 more »
- « less
-
Field
-
INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
Grants to be awarded are divided into four different Research Topics (#1 through #4), having individual Work Programmes, Preference Factors and Minimum Requirements. The applicants must reference, in
-
. Its role is pivotal in the overall performance and safety of the vehicle, underscoring the importance of our work in this field. Various algorithms, models, and signals control different components
-
algorithms. The aim is to develop a high-performance intelligent motor control system that enables greater sustainability, safety and efficiency of the e-bike's energy system, in order to meet the requirements
-
AND TRAINING: The five Research Initiation Grants to be awarded are divided into five different Research Topics (#1 through #5), having individual Work Programmes, Preference Factors and Minimum
-
models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
-
environmental sensing. The incumbent will contribute to the development and deployment of real-time correction algorithms and hardware systems, leveraging GLAO technologies in collaboration with ULTIMATE-Subaru
-
of the solute. These objectives are organized in a series of complementary and interconnected efforts led by different academics: Irene Burghardt (Goethe University in Frankfurt), François Gay-Balmaz (NTU in
-
computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
-
between historical methods underpinning modern data science, which were developed for significantly different contexts and applications than current AI-driven business use cases. Postdoctoral Fellows at D^3
-
Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm