31 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at Aalborg University in Denmark
Sort by
Refine Your Search
-
At the Technical Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance
-
At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc is available within the general study program. The PhD stipend is open for appointment from 1st Feb 2026 or soon after
-
paralleling SiC MOSFETs and power modules and must have experience with hardware methods to attenuate the oscillations successfully. Your experimental experience must be relevant to the tasks and obtained from
-
program, financed by the Villum Foundation, focused on the sustainable reuse of decommissioned wind turbine blades - made from fiber-reinforced polymers composites (FRP) – repurposed for civil construction
-
and high-performance computing resources. The positions are part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration
-
, primarily in tropical and subtropical regions, with a strong focus on hydronic cooling. The research will centre on developing and applying machine-learning methods grounded in control and game theory
-
charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
-
and methodological rigor Approaches research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Actively contributes to public debates and societal discussions
-
advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
-
method development and DNA library preparation for Oxford Nanopore sequencing. Large experience in bioinformatics, machine learning and high-performance computing. Furthermore, excellent written and oral