Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
better The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners Multiple funding sources
-
HORIZON MSCA COFUND - 13 Fully Funded PhD Positions in Chronic Inflammatory Disease Research: MAP-ID
The Jagiellonian University invites applications for 13 fully funded PhD positions within the MAP-ID (Multilevel Approaches to Understanding Chronic Inflammatory Diseases) program, co-funded by
-
“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
-
letter, transcript of records of the master program degree, a summary of your master thesis (if already completed) and the names (affiliation, telephone, e-mail) of two references) by October 10, 2025
-
programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
-
an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Join us at the department of Oncology-Pathology, Karolinska Institutet
-
highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
-
sustainably use forests and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE
-
for Science and Engineering in the doctoral programme in Engineering Sciences aiming to provide interdisciplinary and internationally competitive research training. Your Responsibilities: Conduct research in
-
. This development will be carried out in collaboration with the FHI-aims developer community. Applications of the method will be conducted in close cooperation with our experimental partners within the RTG2861-PCL