Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Michigan
- University of British Columbia
- Harvard University
- National University of Singapore
- University of Oslo
- ;
- University of Bergen
- Northeastern University
- University of Michigan - Ann Arbor
- Imperial College London
- Monash University
- Nature Careers
- University of Maryland, Baltimore
- University of Nottingham
- Humboldt-Stiftung Foundation
- Indiana University
- KINGS COLLEGE LONDON
- Princeton University
- University of Birmingham
- University of Cincinnati
- AbbVie
- Carnegie Mellon University
- King Abdullah University of Science and Technology
- Macquarie University
- RMIT University
- SciLifeLab
- Singapore Institute of Technology
- UNIVERSITY OF SOUTHAMPTON
- University of Sheffield
- University of South-Eastern Norway
- ; University of Glasgow
- ; University of Southern Denmark
- Boston College
- Brookhaven Lab
- CRANFIELD UNIVERSITY
- City University London
- Curtin University
- Genentech
- George Mason University
- Hiroshima University
- Hong Kong Polytechnic University
- KEK
- King's College London
- Ryerson University
- Saint Louis University
- Simons Foundation/Flatiron Institute
- The University of Southampton
- The University of Western Australia
- UNIVERSITY OF WESTERN AUSTRALIA
- UiT The Arctic University of Norway
- University of Adelaide
- University of Michigan - Flint
- University of Stavanger
- University of Stirling
- University of Texas Rio Grande Valley
- University of Texas at Austin
- University of Waterloo
- 48 more »
- « less
-
Field
-
of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and machine learning Personal and relational qualities will be emphasized. Motivation
-
ligase activation Characterize the polyubiquitin architectures assembled and identify their downstream effectors Develop novel E3 ligase activity-based imaging technologies This position offers a unique
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
-
Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, data-driven and machine learning/analysis, esp in climate related topics. Prior
-
and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in-the-loop simulations, prototype development, and bench-level testing to validate design
-
be proficient in both written and oral English. Experience from one or both of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and
-
the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
-
control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
-
for patients with vulvar and sexual health concerns or (2) conduct a sexual psychophysiology study using blood flow imaging technology. As part of Dr. Bouchard’s lab, the Fellow will work alongside undergraduate