Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Technical University of Munich
- Cranfield University
- DAAD
- University of Southern Denmark
- Forschungszentrum Jülich
- Ghent University
- CNRS
- NTNU - Norwegian University of Science and Technology
- ;
- University of Nottingham
- ; The University of Manchester
- Curtin University
- Leibniz
- Queensland University of Technology
- Utrecht University
- ; Swansea University
- Monash University
- University of Groningen
- Chalmers University of Technology
- ; Newcastle University
- Leiden University
- Susquehanna International Group
- Swinburne University of Technology
- University of Luxembourg
- University of Twente
- University of Utah
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Birmingham
- AALTO UNIVERSITY
- Eindhoven University of Technology (TU/e)
- Empa
- Nord University
- RWTH Aachen University
- Roma Tre University
- Swedish University of Agricultural Sciences
- UNIVERSITY OF HELSINKI
- UiT The Arctic University of Norway
- University of Antwerp
- University of Oslo
- Vrije Universiteit Brussel
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Southampton
- ; University of Surrey
- Aalborg University
- Abertay University
- Aristotle University of Thessaloniki
- CWI
- Erasmus University Rotterdam
- GFZ Helmholtz Centre for Geosciences
- Inria, the French national research institute for the digital sciences
- KINGS COLLEGE LONDON
- La Trobe University
- NORCE
- Purdue University
- Technical University Of Denmark
- Umeå University
- Universite de Moncton
- University of Bergen
- University of British Columbia
- University of Cambridge
- University of Copenhagen
- University of Newcastle
- University of Sheffield
- University of Tübingen
- University of Vienna
- Wageningen University and Research Center
- ; Aston University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Exeter
- ; University of Greenwich
- ; University of Nottingham
- ; University of Reading
- ; University of Sheffield
- AIT Austrian Institute of Technology
- Anthogyr
- Arts et Métiers Institute of Technology (ENSAM)
- Brookhaven Lab
- CEA
- CSIRO
- Coventry University Group
- Delft University of Technology
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e); Eindhoven
- European Magnetism Association EMA
- Fluxim AG
- Fraunhofer-Gesellschaft
- Graz University of Technology
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Geesthacht
- Heraeus Covantics
- ICN2
- IMEC
- IRTA
- ISCTE - Instituto Universitário de Lisboa
- 89 more »
- « less
-
Field
-
You Will Do Design and simulate CMOS circuits for spiking neuron models Develop and validate digital/mixed-signal SNN hardware Collaborate with neuroscientists and system-level designers Contribute
-
, modularisation and platform design. Experience with Digital Advanced Product Modelling using CAD design, simulations, and mathematics. A strong motivation for collaborative projects within academia and industry
-
plentiful numerical simulations and access to vast real-world monitoring data are available from the outset, your focus will be on the development and critical assessment of the surrogate models, especially
-
/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
-
. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
-
the area of electric power grids. Essential Duties and Responsibilities: • Perform cyber-physical system modeling and simulation for the power grid. • Perform research on power system dynamics and
-
electron microscopy analysis, Raman spectroscopy, fluid inclusion analysis, potentially appropriate petrochronological methods, and 3D geological modelling. The project will be conducted in partnership with
-
based on both visual and tactile information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition
-
validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
-
observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation