Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of Oslo. We seek a highly motivated postdoctoral candidate with experience in (i) conducting behavioural assays, (ii) performing electrophysiological recordings, and (iii) analysis neuronal data, including
-
for the position. Preferred selection criteria Competence in the theory of superconductivity, quantum transport and/or quantum information/cavity physics will be advantageous. Competence in numerical modelling will
-
phenotyping. By enabling detailed observation and analysis of plant traits under various environmental conditions, our infrastructure promotes innovation and collaboration among researchers, breeders, farmers
-
interdisciplinary project that includes ecology, spatial modeling, spatial planning and sociology. State-of-the art methods and tools will be used for distribution modeling and analysis of experiments, and new tools
-
focusing on rituals and/or measuring inter- and intragroup relations. Demonstrated expertise in survey design and analysis, including sampling, instrument development, implementation, and statistical
-
., participant observation, interviews, visual methods). Fieldwork experience, preferably in Latin America, and ability to conduct field research in Colombia. Excellent skills in qualitative analysis and
-
, and led by Professor Annette Alstadsæter. The core group is based at NMBU, and its international network includes the EU Tax Observatory, Centre for the Analysis of Taxation, Columbia University
-
for distribution modeling and analysis of experiments, and new tools may be developed. The main tasks of the postdoctoral fellow will be within field-based (WP1) and model-based (WP2) approaches. The postdoctoral
-
quantum information/cavity physics will be advantageous. Competence in numerical modelling will be needed. Personal characteristics We are seeking a candidate who is independent, takes initiative and excels
-
reviews, ethnographic fieldwork, network analysis and other research methods as appropriate to project. Take responsibility of own data management to prevent data loss. Take responsibility