23 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions at University of Stavanger
Sort by
Refine Your Search
-
applications, while the candidate working on Deliverable 2 will apply theoretical physics and statistical methods to LISA data analysis. The work will be carried out under the supervision of Assoc. Prof. Germano
-
learning models expansion of the application areas of such models through data set generation and testing of models In our group we have already made contributions in this field across a varied set of
-
participatory ethnography, and comparative case studies. You must be willing to work closely with scholars across methodological divides, and to analyse text data through quantitative and qualitative methods
-
testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
-
, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches, the project will provide practical models for hazard
-
information More information on the position (and project description) can be obtained from Head of department Silje Haus-Reve, tel: +4751832782, e-mail: silje.haus-reve@uis.no or project leader Olga Gjerald
-
education. Research topic The PhD Fellow will be affiliated with the research project “Resuscitation data analysis”, which is a collaboration between researchers at Department of Mathematics and Physics and
-
evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set
-
documentation on competence in English if this is required publications or other relevant research work Applications are evaluated based on the information available in Jobbnorge at the application deadline. You
-
. The postdoctoral fellow will collect and analyse qualitative data (video data, interviews in groups and individually) collected in a selection of classes in upper secondary schools. The qualifying project will be