Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- Delft University of Technology (TU Delft)
- Nature Careers
- ;
- Curtin University
- Cranfield University
- DAAD
- Humboldt-Stiftung Foundation
- University of Oslo
- University of Southern Denmark
- ; Swansea University
- ; University of Greenwich
- ; University of Nottingham
- ; University of Warwick
- Ghent University
- Hannover Medical School •
- KNAW
- Karlsruhe Institute of Technology •
- Linköping University
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Monash University
- Radboud University
- Swinburne University of Technology
- TU Dresden
- University of Nottingham
- University of Stuttgart •
- University of Twente
- Utrecht University
- VIB
- Østfold University College
- 21 more »
- « less
-
Field
-
Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
-
of Computer Science and Communication. The position is part of the research initiative “The Digital Society” at Østfold University College. The position is focused on researching the integration of Artificial
-
! Scientists have speculated about the inherent potential of molecular systems for information processing since the dawn of computer science. However, the digital computing paradigm is inherently ill-suited
-
modelling framework that can serve as a digital twin of the manufacturing process allowing for a faster and more precise optimization trough virtual engineering.You will work within a research team comprising
-
Sociology of Law, Digitizing Sexual Violence Apply for this job See advertisement Job description One PhD fellowship is available at the Department of Criminology and Sociology of Law to undertake research as
-
, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
-
imaging using 3 Tesla MRI scanning to investigate brain biomarkers. Collaborate with clinical experts and patient groups, attend conferences and meet leading research experts. Project aims and objectives
-
outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
-
unintentionally bring about macro-level outcomes. The group at IAS focuses on the dynamic processes that lead to a concentration of individuals with certain socio-economic or ethnic characteristics in different
-
for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks