Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- CNRS
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- University of Warwick;
- University of Copenhagen
- Aalborg University
- Forschungszentrum Jülich
- Monash University
- AALTO UNIVERSITY
- Technical University of Munich
- The University of Manchester
- University of Amsterdam (UvA)
- Utrecht University
- Umeå University
- University of Nottingham
- Fondazione Bruno Kessler
- Inria, the French national research institute for the digital sciences
- KU LEUVEN
- Queensland University of Technology
- University of Antwerp
- University of Vienna
- Wageningen University & Research
- ETH Zürich
- Empa
- The University of Newcastle
- UNIVERSITY OF HELSINKI
- University of Warwick
- Aalborg Universitet
- Graz University of Technology
- Leiden University
- Linköping University
- Manchester Metropolitan University
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of East Anglia
- University of Groningen
- University of Twente (UT)
- Wrocław University of Science and Technology
- Centrum Wiskunde en Informatica (CWI)
- DIFFER
- Hasselt University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Karolinska Institutet, doctoral positions
- Luxembourg Institute of Science and Technology (LIST)
- Manchester Metropolitan University;
- Max Planck Institute for Meteorology •
- Mälardalen University
- National Research Council Canada
- Newcastle University
- Nord University
- SciLifeLab
- Swansea University
- Technical University of Denmark
- Technological University Dublin
- UNIVERSITATEA DIN CRAIOVA
- Universidade de Coimbra
- University of Bergen
- University of Exeter
- University of Luxembourg
- University of Oslo
- University of Sussex
- University of Utah
- Uppsala universitet
- VIB
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel
- AMOLF
- ARCNL
- ARDITI - Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação
- Abertay University
- Amsterdam UMC
- BAM Bundesanstalt für Materialforschung und -prüfung
- CESI
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Chalmers University of Technology
- Cleveland State University
- Copenhagen Business School
- Deutsches Elektronen-Synchrotron DESY
- Durham University
- Erasmus MC (University Medical Center Rotterdam)
- Escola Superior de Saúde do Politécnico do Porto
- FEMTO-ST Institute/AS2M (https://www.femto-st.fr/en)
- Foundation for Research and Technology-Hellas
- Fraunhofer-Gesellschaft
- Geological Survey of Denmark and Greenland (GEUS)
- German Cancer Research Center in the Helmholtz Association (DKFZ)
- Grenoble INP - Institute of Engineering
- Göteborgs universitet
- Hanken School of Economics
- Heidelberg University
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH
- Helmholtz-Zentrum Geesthacht
- ICN2
- IDAEA-CSIC
- IMEC
- INSTITUT CATALÀ DE NANOCIENCIA I NANOTECNOLOGIA
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- 90 more »
- « less
-
Field
-
of: electromagnetic sensor design, modelling, prototyping and experimental validation. The best fit is A candidate interested in high-frequency measurement techniques, sensor hardware development and precision
-
(materials, scenarios) - Translation of local knowledge into simulation rules - Facilitation or co-facilitation of model testing sessions - Collection of feedback for prototype iterations. Analysis and
-
Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
-
of interest, e.g. the spectral density of strongly correlated models, as measured in ARPES. • The mathematics of the approach will require a lot of innovative developments too. In the only published article
-
offers the opportunity to contribute to an emerging area of interdisciplinary research that brings together artificial intelligence and advanced materials modelling to address key challenges in
-
be a game changer. Deep learning models can learn the mapping between material states and ultrasonic responses from simulation data, delivering quantitative predictions once trained, and remarkably
-
applications, architecture, building blocks, integration, requirements, limitations and state of the art in optical transceivers Understanding modeling of the optical modulators and simulation platform
-
. The successful candidate will combine extensive experimental testing with insulation lifetime modelling to study PD inception, degradation and endurance, and to develop approaches for predicting insulation
-
of Toronto, and Queen's University Belfast, with travel to Victoria, BC and the UK. Duties: Design, simulate (FDTD: Lumerical, Tidy3D, OptiFDTD), and lay out PICs (gdspy, Nazca, gdsfactory, Luceda, KLayout
-
structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale