Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
-
to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
-
GPU clusters for large-scale analyses. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The employment is
-
to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
-
collaborate with other departments at Aalborg University, including Energy, Biotechnology and Chemistry. International collaboration is a core element of the project, and you will be part of joint activities
-
design. The project will have a strong empirical component. The PhD student will work with behavioural data, immersive experimental environments, and human-centric sensing technologies such as eye-tracking
-
architectures for quantum superlattice devices, including embedded contacts and electron-transparent regions. Develop transfer and stacking processes for graphene, hBN, transition metal dichalcogenides and charge
-
PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
doctoral program at CERN, and will have access to experimental facilities at both institutions. The position includes a mobility component of up to two years at CERN, undertaken within CERN's Technology
-
, you will have the opportunity to advance scientific expertise on integrated modelling of the entire water cycle, with particular focus on real-time simulations and operational forecasting. A key element
-
. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate