Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Delft University of Technology (TU Delft)
- Oak Ridge National Laboratory
- Nature Careers
- Nanyang Technological University
- Technical University of Munich
- CNRS
- NIST
- University of Sheffield
- Aalborg University
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Dayton
- Carnegie Mellon University
- Cornell University
- ETH Zurich
- Harvard University
- University of Oslo
- Zintellect
- Cranfield University
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Ghent University
- IMEC
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Texas at Austin
- Ecole Centrale de Lyon
- FEUP
- IMT Atlantique
- Inria, the French national research institute for the digital sciences
- Iowa State University
- KU LEUVEN
- Linköping University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- National Research Council Canada
- National University of Singapore
- Stanford University
- The University of Manchester;
- University College Dublin
- University of Agder
- University of Antwerp
- University of Basel
- University of Glasgow
- University of Liverpool
- University of Lund
- Université Grenoble Alpes
- Uppsala universitet
- Vrije Universiteit Brussel
- ADELAIDE UNIVERSITY
- AIT Austrian Institute of Technology
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Brookhaven National Laboratory
- Center for Devices and Radiological Health (CDRH)
- Chalmers University of Technology
- Duke University
- ERATOSTHENES CENTRE OF EXCELLENCE
- ETH Zürich
- Empa
- FEMTO-ST institute
- Florida Atlantic University
- Forschungszentrum Jülich
- Ghent University Global Campus
- Glyndwr University
- Heriot Watt University
- Hong Kong Polytechnic University
- INESC TEC
- INRIA
- Imperial College London;
- Institute for bioengineering of Catalonia, IBEC
- Institute of Fluid Flow Machinery Polish Academy of Science
- Institute of materials and machine mechanics Slovak academy of sciences
- Instituto Politécnico de Viana do Castelo
- Instituto de Telecomunicações
- KTH Royal Institute of Technology
- King's College London
- LNEC, I.P.
- Lunds universitet
- Luxembourg Institute of Science and Technology
- Manchester Metropolitan University
- Michigan State University
- Michigan Technological University
- Monash University
- NTNU Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Newcastle University
- North Carolina State University
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- Observatoire de Paris
- Politecnico di Milano
- Princeton University
- SUNY Polytechnic Institute
- Singapore University of Technology & Design
- Singapore-MIT Alliance for Research and Technology
- Slovak University of Agriculture in Nitra
- Sorbonne Université, CNRS, Inserm
- Sveriges Lantbruksuniversitet
- Technical University of Denmark
- Technische Universität München
- 90 more »
- « less
-
Field
-
NeuroVision – Neuromorphic Vision Sensor Data Coding. The project focuses on the development of efficient, low-latency, and scalable coding solutions for event-based (neuromorphic) vision sensors, targeting
-
continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with other European Union partners will contribute to the advancement
-
science. If you’re passionate about building real robots that make a measurable difference in the world, we’d love to hear from you. Your primary responsibilities are: Developing algorithms for perception
-
to extract knowledge from data, modelling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but are not limited to models and algorithms for knowledge
-
, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
-
to algorithms, and cross-platform co-design across superconducting, neutral atom, and diamond-based systems, guided by quantitative resource estimates targeting DOE-priority scientific applications. Position
-
development on undersea sensor systems employed on Naval Special Warfare platforms. Responsibilities Communicate and collaborate with team members to design and develop new software features and maintain
-
. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
-
integration tasking on new undersea systems using sensor technologies alongside embedded computers running Linux-based operating systems. Responsibilities Software Development Lead: Work closely with project
-
software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities