Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a
-
PostDoc in the project). Collaborating with fellow researchers across the UPLIFT network, including those focused on digital twins at DTU Chemical Engineering- As a PhD candidate, your work will adapt
-
multidisciplinary team of approximately 10 PhDs and postdocs, fostering a strong collaboration between DTU Physics and DTU Construct. Our group is a global leader in the field of metal plasticity. We invented
-
for up to 6 months before starting the PhD program. The position is available from 1st September 2025 or soon thereafter. Application deadline is 20. June 2025. Research Project MYC is a critical
-
candidate must also fulfill the requirements for admission to a PhD program at DTU. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two
-
CAT3D, a five-year Villum Young Investigator project that fully funds this PhD position, along with two postdoc positions, we will tackle this grand challenge by fabricating and studying electrocatalysts
-
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
-
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
-
interaction with the other PhDs/Postdocs and more senior scientists within the MicroAM project. Responsibilities and qualifications If you are interested in numerical simulations of advanced manufacturing
-
on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems