60 algorithms-"DIFFER"-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- INESC TEC
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Harvard University
- NTNU Norwegian University of Science and Technology
- Instituto Pedro Nunes
- Northeastern University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SURREY
- University of Hertfordshire;
- University of New South Wales
- University of Nottingham
- Curtin University
- Dana-Farber Cancer Institute
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- FCiências.ID
- Florida Atlantic University
- Genentech
- Institut national de la recherche scientifique (INRS)
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- Monash University
- Nanyang Technological University
- Nature Careers
- Nova School of Business and Economics
- RCSI - Royal College of Surgeons in Ireland
- Simons Foundation/Flatiron Institute
- The University of British Columbia (UBC)
- Universidade de Aveiro
- University of British Columbia
- University of Oslo
- University of Southern Denmark
- University of Surrey
- University of Turku
- University of Warwick;
- 25 more »
- « less
-
Field
-
complementary and interconnected efforts led by different academics: Irene Burghardt (Goethe University in Frankfurt), François Gay-Balmaz (NTU in Singapore), Raymond Kapral (University of Toronto), and Cesare
-
of complementary and interconnected efforts led by different academics: Irene Burghardt (Goethe University in Frankfurt), François Gay-Balmaz (NTU in Singapore), Raymond Kapral (University of Toronto
-
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
-
. The methodology used shall consider behind-the-meter installations at the consumer side and installations by the utility, considering different scenarios, with the goal of achieving grid reinforcement and deferring
-
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
-
benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
-
learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
-
. This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with
-
Norwegian courses. Required selection criteria You must have completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms
-
completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining. Experience with