Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
a unique range. Institute of Coastal Systems Analysis and Modeling The Institute for Coastal Systems Analysis and Modeling studies the dynamics of coastal systems as part of the Earth system and
-
influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT
-
, vibrant, and collaborative research environment. In a multidisciplinary effort, the Sander lab combines single-cell genomics, human stem cell models, and bioengineering approaches to investigate
-
and training your own AI-based models for image segmentation or image compression, as demonstrated by Git repositories Experience in supervising students and young scientists Good knowledge of materials
-
(SDPs). You will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy
-
that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us
-
types develop novel approaches for targeted genome manipulation work with advanced cell model systems (including gene editing and iPSC-derived models) plan and conduct independent research projects
-
). The aim is to use modern molecular biological methods and in vivo models to investigate the role of fibroblastic plasticity in cardiac remodeling and loss of function. Your role: Independent work on the
-
after damage. Methodologically, the project aims to develop novel organoid-on-a-chip models of kidney injury. The applied techniques will include mouse and human kidney organoids, tissue engineering
-
alters immune responses against vaccines using next-generation human tissue and organoid models. Current vaccines against infectious diseases and cancer benefit only a subset of patients, partly due to our