Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced
-
-world energy applications, the project aims to better capture the dynamics of urban infrastructures across different spatial and temporal scales, from building-level energy demand to district-scale
-
the following topics: plasma technology, surface science, water treatment, redox/radical chemistry. Proficient in spoken and writing English. German fluency is not needed but considered a plus. You are a dynamic
-
Benefits We offer Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development
-
life sciences institutes. With 33 groups and 500 employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several
-
life sciences institutes. With 33 groups and 500 employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several
-
agreement. We are providing a supportive environment that fosters professional and personal growth . You will join a dynamic, motivated and interdisciplinary team of researchers with expertise in chemistry
-
research in a dynamic, innovative scientific working environment. Conditions of employment and salary are governed by the personnel and salary regulations of the University of Basel. Application / Contact
-
. Experience in GIS and handling large datasets is a plus. A fully-funded PhD position for four years in a dynamic research group with an excellent research infrastructure in the international and
-
energy system models that incorporate a stronger Social Sciences and Humanities (SSH) perspective. By embedding societal dynamics, such models aim to capture a wider range of future uncertainties and