Sort by
Refine Your Search
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
-
Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
-
batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
-
Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
-
physics, material science, electrical engineering or a related discipline In accordance with the European Union’s funding rules for doctoral networks, applicants must NOT yet have a PhD Familiarity with
-
Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
-
LINK: TBD Research field: Biomaterials / Biomaterials Synthesis / Nanochemistry / New materials: oxides, alloys, composite, organic-inorganic hybrid / Nanoparticles / Pharmaceutical Chemistry
-
Inverse Design of Perovskite-Based Materials for Photovoltaic Devices Your Job: As a PhD candidate, you will develop and deploy an artificial intelligence (AI)-driven approach to streamline high-throughput
-
– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
-
Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so