Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
candidate will be in the lead to develop organisational principles and action perspectives that help infrastructure agencies to collaboratively maintain our roads, bridges, waterways, electricity networks and
-
, you will develop highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function
-
(Principal Investigator: Dr. Dorothea Golze, Chair of Theoretical Chemistry, Research area C): Research topic: Extension of the GW+C approach to materials In this position, you will develop highly accurate
-
collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
-
the challenges of dynamic sensor networks for sleep management. Through the joint supervision between multiple disciplines, the student will be offered a unique opportunity to develop a robust personal portfolio
-
Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
-
Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
-
research with annual expenditures of more than $4.9 million in fiscal year 2024. Research activities are carried out in multiple research laboratories at the Department and at research centers in the College
-
an active, leading member of the Neuromuscular Research Laboratory team and work across multiple projects as well as develop their own research projects and grant proposals. Additionally, the candidate will
-
multiple public services, including health, education, housing social care and criminal justice. Using linked administrative datasets, the research will explore new approaches to identify patterns of cross