Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Technical University of Cluj-Napoca
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Institute for bioengineering of Catalonia, IBEC
- Susquehanna International Group
- Universidad de Alicante
- University of A Coruña
- University of Groningen
- University of Newcastle
- University of Texas at Austin
- Brno University of Technology
- CSIRO
- Carl von Ossietzky Universität Oldenburg
- Charles University, Faculty of Mathematics and Physics
- Drexel University
- Edmund Mach Foundation
- Heraeus Covantics
- Imperial College London
- Keene State College
- Leibniz
- McGill University
- NTNU Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Nature Careers
- Newcastle University;
- RAEGE-Az
- The Medicines And Healthcare Products Regulatory Agency;
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- University of Alabama, Tuscaloosa
- University of Antwerp
- University of Cambridge;
- University of Glasgow
- University of Groningen; Groningen
- University of Luxembourg
- University of Minnesota
- University of Minnesota Twin Cities
- 27 more »
- « less
-
Field
-
, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data
-
require the design of architectures suitable for real-life problems. Moreover, appropriate mathematical methods, algorithms, and applications are required. Simulators are a recognized method for
-
in the adaptation and improvement of the algorithms required for the aggregation and provision of flexibility to the grid, the optimized management of an energy community, and the intelligent operation
-
locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
-
of an image analysis algorithm for particle tracking and speed quantification. Requirements for candidates: Essential: BSc and MSc in biochemistry, biology, biophysics, biotechnology, biomedical engineering
-
Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
-
Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 23 days ago
conservation related consequences of animal navigation, and (4) links biological and technical systems through models, algorithms, and devices. The acquired knowledge can help to solve major societal questions
-
Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Background Investigation Statement: Prior to hiring, the final candidate(s
-
are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
-
Europe | 3 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