Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We
-
students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
-
. Hence, the transfer of both organic carbon and inorganic carbon from the surface to the deep ocean is locally promoted. The aim of the project is to investigate interaction between changes in the AMOC and
-
molecular interactions between ICB and γδ T cells. Position 2 will focus on the potential role of γδ T cells in immune related adverse effects (irAEs). Both positions will be in close collaboration with
-
the interaction between network exposure and resource allocation. In this context, your main focus will be to: - Investigate network exposure mechanisms related to 5G core network functions and network
-
as well as a sensitive interaction of the natural frequency of the UAVs with the surrounding turbulence are expected. These boundary conditions must be considered in the regulatory Certification
-
or comparable Description of the PhD topic: (subproject T7) In Urban air mobility, a high wind sensitivity of UAVs as well as a sensitive interaction of the natural frequency of the UAVs with the surrounding
-
scientific challenge. The planned PhD project will therefore investigate the interaction of food-borne toxicants with realistic co-exposure using New Approach Methods (NAMs). The focus will be
-
scientific challenge. To address this challenge, the PhD student shall assess the interaction of food-borne toxicants at realistic co-exposure using New Approach Methods (NAMs). The focus of this work will be
-
focus on how interactions between species at different trophic levels shape these responses. The project combines (1) analysis of long-term datasets to quantify historical changes in the distributions