Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
-resolved micro and nano CT data. Develop and apply numerical implementations in simulation studies as well as to large experimental micro and nano CT data. Explore multi-modality reconstruction techniques
-
. Co-supervising PhD & MSc students, particularly those working in electrophysiology and computational modelling. Developing an online tinnitus test battery and database Stratify tinnitus phenotypes
-
you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in ecology, environmental science, remote sensing, data
-
the technology up. The candidate will be focusing on adapting our technology for industrial applications and design a CO2 capture system/filter prototype for flue gas CO2 capture and large-scale plastic waste
-
shared with about 400 highly skilled and motivated colleagues, with interdisciplinary backgrounds from meteorology, electrical and control engineering and data science all the way to humanities
-
You will join the Grand Solution project"DRONES: Drone-Obtained Electromagnetic Signatures" to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture
-
..) Digital Twin & Digital Transformation Development & Deployment of Digital Twins for smart cities, or data infrastructure. IoT-based Data Sources, Big Data Pipelines, & Real-time Analytics. Federated Systems
-
2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
regimes, and geodiversity. Key topics include understanding the large-scale consequences of NE expansion and exploring whether restoration and rewilding efforts can mitigate biodiversity loss and enhance
-
from state-of-the-art roll-to-roll (R2R) thin-film process technologies. The center is headed by Professor Morten Madsen and includes 9 co-principal investigators and many PhDs and postdocs. Read more
-
engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop