Sort by
Refine Your Search
-
of novel and better enzyme variants from a large proteome compendium Generating structural models of enzymes and using machine learning methods to predict their enzymatic function and characterize
-
water and fertiliser (nitrogen) uptake. The person on the project will use multiscale functional-structural plant models to quantify soil-root processes and identify combinaison of traits beneficial in
-
large proteome compendium Generating structural models of enzymes and using machine learning methods to predict their enzymatic function and characterize their molecular recognition properties Using
-
. The person on the project will use multiscale functional-structural plant models to quantify soil-root processes and identify combinaison of traits beneficial in specific pedo-climatic environments (sensitiviy
-
Electrochemistry English (fluent written and spoken) language skills indispensable Excellent cooperation, communication skills and ability to work in a team Systematic and structured way of working, including
-
spoken) language skills indispensable Excellent cooperation, communication skills and ability to work in a team Systematic and structured way of working, including efficient documentation and data
-
in the fields of environmental economics, resource economics, economic theory, evolutionary economics or innovation economics Independent and structured way of working Willingness to work
-
), the Institute for Sustainable Hydrogen Economy (INW), or institutes at RWTH Aachen University) Acquisition of third-party funded projects Characterization of the structure and dynamics of energy materials
-
conferences Good command of English; knowledge of German is not a prerequisite (courses are offered) Structured and systematic working style and ability to work cooperatively in international teams Our Offer
-
of English; knowledge of German is not a prerequisite (courses are offered) Structured and systematic working style and ability to work cooperatively in international teams Our Offer: We work on the very