Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Carnegie Mellon University
- ;
- The University of Chicago
- Nature Careers
- University of Cambridge
- University of Newcastle
- CNRS
- Cornell University
- University of Bergen
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- DAAD
- Institute of Computer Science of the Czech Academy of Sciences
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Munich
- The University of Iowa
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Oxford
- University of Pardubice
- University of Utah
- Aalborg University
- Arizona State University
- Aston University
- Brookhaven Lab
- Delft University of Technology (TU Delft)
- Duke University
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- Ghent University
- IMEC
- Ingeniarius, Ltd.
- Instituto Politécnico de Setúbal
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- KTH Royal Institute of Technology
- KU Leuven
- Leibniz
- Luxembourg Institute of Socio-Economic Research (LISER)
- McGill University
- MedUni Vienna
- Sheffield Hallam University
- Tampere University
- Technische Universität Berlin
- Temple University
- The Ohio State University
- The University of Copenhagen
- Trinity College Dublin
- UNIVERSITY OF SYDNEY
- University of Adelaide
- University of Birmingham
- University of Bucharest
- University of Glasgow
- University of Liverpool
- University of Luxembourg
- University of Minnesota
- University of Oslo
- University of Sheffield
- University of Sydney
- Vrije Universiteit Brussel
- Wageningen University & Research
- 50 more »
- « less
-
Field
-
integrated with the NiMARE (NMA) software project. To be considered you will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain
-
will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain imaging data and possess sufficient specialist knowledge in brain
-
developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
-
developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
-
of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
-
» Computer engineering Technology » Computer technology Technology » Future technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 28 Mar
-
the challenge of time-consuming sideshaft testing. As a key member of the team, you will apply cutting-edge machine learning and deep learning techniques to dramatically reduce testing cycles. You will lead life
-
10 Mar 2025 Job Information Organisation/Company Instituto Politécnico de Setúbal Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD
-
the School of Mathematics, Statistics & Physics carries out world-class research in modern statistics and data science, with strengths in applied statistics and machine learning, applied probability
-
neurológicos; Cribado y evaluación del párkinson; Machine learning confiable y robusto; intepretabilidad y equidad de la inteligenica artificial; Procesado de señal. Señal radar