Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
actively to discussions, share your insights with others and are willing to support students and junior researchers. You are structured in your approach to complex problems, curious about new methods and
-
of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
-
for compositionally complex, defect-containing and structurally disordered crystalline materials. Develop, train, validate and benchmark machine-learned interatomic force fields for multicomponent inorganic energy
-
datasets. Strong analytical and critical-thinking skills, with the ability to translate complex genomic results into biological insight. Excellent written and verbal communication skills in English
-
chemistry and the synthesis of organometallic complexes. The candidate must have experiences with the technologies for carbon capture and utilisation. The candidate must have good communication skills and
-
other environmental stresses. However, identifying the genes underlying these complex traits remains challenging. This project will combine plant genomics, artificial intelligence, and evolutionary
-
environments; experience coordinating complex workflows (e.g., between wet lab, proteomics and dry lab) and maintaining structured project documentation. The lab places strong emphasis on teamwork, where
-
organometallic chemistry and the synthesis of organometallic complexes. The candidate must be with the technologies for plastic recycling. The candidate must have good communication skills and experience in
-
recognition events to colonization strategies. Within this framework, the advertised postdoctoral project is specifically focused on complex data analyses of plants for improved symbiotic associations with soil
-
thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI