27 postdoc-computational-fluid-dynamics-"Prof" PhD positions at University of Southern Denmark
Sort by
Refine Your Search
-
Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a PhD position in Neuromorphic Brain-Computer Interface Design. Are you a multidisciplinary
-
Prof. Daniel Merkle. The overall research project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the design of microbial communities
-
postdoc in the lab. You have: A Master’s in Life Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory
-
Job Description Are you passionate about neuromorphic computing and hardware design? Do you want to contribute to the next generation of brain-inspired computing systems for healthcare applications
-
for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
-
Job Description We are looking for a PhD candidate to join the TACsy (Training Alliance for Computational Systems Chemistry) Marie-Skłodowska-Curie Joint Doctoral Network. This network consists
-
Job Description A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof
-
Young Investigator program, under the project title "DDPTX: Deciphering the Dynamics of Power-to-X Systems." This funding is provided by VILLUM FONDEN, a prestigious foundation known for its support of
-
. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
-
Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips