Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of A Coruña
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- ISCTE - Instituto Universitário de Lisboa
- Leiden University
- Nature Careers
- Technical University of Munich
- Curtin University
- Delft University of Technology (TU Delft); yesterday published
- Loughborough University
- Monash University
- Norwegian University of Life Sciences (NMBU)
- Susquehanna International Group
- Tallinn University of Technology
- University of Amsterdam (UvA)
- University of Groningen
- University of Luxembourg
- University of Southern Denmark
- ;
- Aalborg University
- Brno University of Technology
- CSIRO
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Cranfield University
- DAAD
- Delft University of Technology (TU Delft); Delft
- Edmund Mach Foundation
- FCiências.ID
- Faculdade de Ciências Sociais e Humanas
- Institute of Physical Chemistry, Polish Academy of Sciences
- Instituto de Telecomunicações
- Leiden University; Leiden
- Maastricht University (UM)
- Norwegian Institute of Bioeconomy Research
- Queensland University of Technology
- RAEGE-Az
- Technical University of Denmark
- Tel Aviv University
- UNIVERSITY OF HELSINKI
- Uni Tuebingen
- Universidad de Alicante
- University of Adelaide
- University of Amsterdam (UvA); Amsterdam
- University of Bremen •
- University of Potsdam •
- University of Southern Queensland
- University of Twente (UT)
- Università degli Studi di Sassari
- Università degli Studi di Trieste
- 41 more »
- « less
-
Field
-
team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
-
. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis
-
candidate will contribute to: Developing supervised deep learning algorithms for 3D point clouds Developing self-supervised deep learning algorithms for 3Dpoint clouds Expand for a wider variety of downstream
-
Algorithmic Categorization”, 2024.07707.IACDC supported by measure “RE-C05-i08.m04 – “Support the launch of a program of R&D projects aimed at the development and implementation of advanced cybersecurity
-
: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
-
: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
-
for Artificial Intelligence are set to launch in the fall of 2025. These centers will foster interdisciplinary collaboration among researchers to address societal challenges, understand the impact of AI, develop
-
of AI, develop new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant investment in
-
this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent
-
contribute to: Developing supervised deep learning algorithms for 3D point clouds Developing self-supervised deep learning algorithms for 3Dpoint clouds Expand for a wider variety of downstream tasks focused