Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Nature Careers
- Tallinn University of Technology
- Chalmers University of Technology
- DAAD
- University of Groningen
- Curtin University
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Ghent University
- Leibniz
- Technical University of Denmark
- University of Antwerp
- University of Cambridge
- University of Nottingham
- ; Brunel University London
- Cranfield University
- ETH Zürich
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Harper Adams University
- Heraeus Covantics
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London
- Instituto Superior de Economia e Gestão
- Instituto de Telecomunicações
- KU LEUVEN
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Linköping University
- Monash University
- Newcastle University;
- TU Dresden
- Tel Aviv University
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Glasgow
- University of Luxembourg
- University of Minnesota
- University of Sheffield
- University of Vienna
- Università degli Studi di Sassari
- Uppsala universitet
- VIB
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel
- Wageningen University & Research
- 37 more »
- « less
-
Field
-
, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
-
- QKD, under the scope of a term contract, with a termination date undetermined, overseen by Portuguese Labour Code. Job description: Development of scientific research activities within the research
-
, employees, IT infrastructure, specialized training). Second, they may require the use of quantitative models, data analysis, and algorithms, but these applications must also safeguard the data privacy and non
-
off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception
-
new paradigm in the design, testing, and validation of Electronic Control Units (ECUs) for Connected and Autonomous Vehicles. By developing high-fidelity Digital Twins (DTs) that combine functional
-
to develop novel, bio-inspired neural networks that flexibly and robustly control locomotion in multi-limbed robots. "Self-organised clocks for reliable spiking computation" (Supervisor: Prof Timothy O'Leary
-
: Develop an event-driven RL algorithm that sparsely updates network state and parameters that will significantly improve energy to-solution efficiency compared to conventional digital accelerators when
-
Prof. João Pereira dos Santos, Assistant Professor 4. Fellowship Activities Plan: Portugal is currently facing a deep housing paradox: more than 723,000 dwellings were declared vacant in the 2021 Census
-
computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm
-
" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic