Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics
-
presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
-
: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
-
partner or with another humanoid robot to solve a spatial problem (e.g. 3D puzzle, fold a paper). The tasks to be carried out are: (i) scene understanding: detection of objects and relations between objects
-
allows for objective and qualitative assessments. A complete application should be submitted by the application deadline. An incomplete application may jeopardise a fair assessment of qualifications
-
. The aim to advance the use of X-ray techniques through a project focusing on X-ray tomography, opening up for 3D characterization of materials developed in FibRe. In particular, the objective is to
-
the use of X-ray techniques through a project focusing on X-ray tomography, opening up for 3D characterization of materials developed in FibRe. In particular, the objective is to through X-ray imaging study
-
of the project’s objectives, Produce high-quality research results, project reports, and scientific publications, and Contribute to teaching or other departmental duties, up to a maximum of 10% of your working time
-
molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
-
heterogeneity in chemically modified cellulose fibers and in pharmaceutical formulations. The objective is to establish NMR-based methods that quantify radial modification profiles and heterogeneity, and to