146 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" Fellowship positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
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
-
nanoparticles and incorporation of cell-penetrable peptides for precise delivery to cancer cells, and exploiting differences in the membrane compositions of healthy cells and malignant cells. These data will be
-
novel methods and statistical software that are tailor-made to the research questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations, including AI-based methods. The project associated with this position aims to take
-
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