17 distributed-algorithm-"Prof" Postdoctoral positions at Aalborg University in Denmark
Sort by
Refine Your Search
-
(CLASSIQUE) is a pioneering research initiative at Aalborg University, Denmark, and is headed by Prof. Petar Popovski. The center aims to revolutionize communication systems for the quantum age. As quantum
-
. Prof. Daniel-Ioan Stroe, Department of Energy, and Prof. Jan Østergaard, Department of Electronic Systems, Aalborg University. Batteries are vital for the green transition, enabling electrification
-
At Aalborg University (AAU), Faculty of Engineering and Science, Department of Chemistry and Bioscience, a 2-year Postdoc position is available in the Microbial Metagenomics group headed by prof
-
At Aalborg University (AAU), Faculty of Engineering and Science, Department of Chemistry and Bioscience, a 2-year Postdoc position is available in the Microbial Metagenomics group headed by prof
-
At Aalborg University (AAU), Faculty of Engineering and Science, Department of Chemistry and Bioscience, a 2-year Postdoc position is available in the Microbial Metagenomics group headed by prof
-
At the Faculty of Engineering and Science, Department of Materials and Production one or more Postdoc positions in the area of Optimization and Algorithm Design are open for appointment from April
-
information from Prof. Jamal Jokar Arsanjani, jja@plan.aau.dk. 99403183. Youcanread more on TECH as a workplacehere . Youcanread more on Department of Sustainability and Planning here. Qualification
-
and communication systems. You will work with real measurement data and participate in both algorithm development and experimental validation. You will collaborate with industrial and academic partners
-
the differentiated cells, we explore how pathogenic calmodulin mutations impact cellular differentiation, development, and signaling. The project is a collaboration between prof. Michael Toft Overgaard and assist
-
will: Develop and implement model-based and data-driven (AI) optimization algorithms for battery charging Integrate physics-informed models and data-driven tools to design health-aware charging protocols