Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Durham University
- Oak Ridge National Laboratory
- Argonne
- Technical University of Munich
- CNRS
- University of Liverpool
- Cornell University
- Stanford University
- University of Luxembourg
- University of Oxford
- Aarhus University
- Carnegie Mellon University
- NEW YORK UNIVERSITY ABU DHABI
- National Renewable Energy Laboratory NREL
- Stony Brook University
- Technical University of Denmark
- AALTO UNIVERSITY
- Aalborg University
- University of Liverpool;
- University of Southern Denmark
- Adam Mickiewicz University, Poznań
- Chalmers University of Technology
- FAPESP - São Paulo Research Foundation
- King's College London
- Singapore-MIT Alliance for Research and Technology
- THE UNIVERSITY OF HONG KONG
- University of Amsterdam (UvA)
- Arizona State University
- Duke University
- ICN2
- Institut Pasteur
- Istituto Italiano di Tecnologia
- Leibniz
- Leiden University
- Medical University of Warsaw
- National Aeronautics and Space Administration (NASA)
- Rutgers University
- Texas A&M AgriLife
- Texas A&M University
- The University of Iowa
- University of Basel
- University of Copenhagen
- University of Sydney
- VIB
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- AI4I
- AMOLF
- Aalborg Universitet
- Avignon Université
- Bar Ilan University
- Brookhaven National Laboratory
- Centrum Badan Kosmicznych PAN
- Chinese Institutes for Medical Research
- Constructor University Bremen gGmbH
- Delft University of Technology (TU Delft)
- ERATOSTHENES CENTRE OF EXCELLENCE
- ETH Zürich
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Georgia Institute of Technology
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helsinki Institute of Physics
- Heriot Watt University
- IMEC
- IMT Atlantique
- Institut Català de Nanociència i Nanotecnologia
- Institute of Photonic Sciences
- International Iberian Nanotechnology Laboratory (INL)
- Iowa State University
- KINGS COLLEGE LONDON
- KTH Royal Institute of Technology
- Karlstad University
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Luxembourg Institute of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Demographic Research (MPIDR)
- Medical University of Gdańsk
- Mälardalen University
- NIOZ Royal Netherlands Institute for Sea Research
- National Institute of Chemistry Slovenia
- New York University
- New York University in Abu Dhabi
- New York University of Abu Dhabi
- Nicolaus Copernicus Astronomical Center
- Norwegian Meteorological Institute
- Poznan University of Medical Sciences
- Queen Mary University of London;
- Reykjavik University
- Saint Louis University
- Silesian University of Technology
- Sveriges Lantbruksuniversitet
- Technical University of Cluj-Napoca
- The Francis Crick Institute
- The International Institute of Molecular Mechanisms
- The Ohio State University
- The University of Arizona
- The University of Queensland
- The University of Western Australia
- 90 more »
- « less
-
Field
-
automation methodologies and software infrastructure for next-generation computing systems, including neuromorphic and emerging hardware platforms. The position involves designing high-performance algorithms
-
robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
-
. Design, implement, and evaluate next-generation SE capabilities such as AI-augmented requirements engineering, automated conflict detection, model-based review support, and change impact analysis. Advance
-
state-of-the-art approaches including single-cell and spatial transcriptomics, circuit tracing and connectomics, and automated behavioral analysis. In close collaboration with the Verstreken and de Wit
-
; measurement system characterization, e.g., validating platform performance such as dynamic range, linearity, phase noise and measurement uncertainty; automated test & data acquisition, e.g., using Python/MATLAB
-
user groups to incorporate scattering datasets into multimodal AI frameworks combining experimental measurements and simulations. Contribute to the development of automated data processing and analysis
-
Australia’s manufacturing sector through intelligent automation, technology innovation, and workforce development. This collaborative project will advance the next generation of wear- and corrosion-resistant
-
), automated testing, and documentation for open-source research software. Preferred Qualifications: ● Experience with neuroimaging data modalities (e.g., EEG, fMRI) and familiarity with how empirical neural
-
releases in computational neuroscience. * Familiarity with scientific software development best practices, including version control (Git), automated testing, and documentation for open-source research
-
. Ability to analyse data and interpret results will be necessary. Industrial Electronic Engineering and Automation, Computer Science or equivalent degrees will be welcomed. Where to apply Website https