-
modelling analyses, including differential gene expression analysis, microbiome diversity analyses, host–microbiome association testing, metagenome-wide association analyses (mGWAS), hierarchical Bayesian
-
processes of the study systems of our collaborators. Core components of the research involve, among others, Bayesian hierarchical modelling, shrinkage methods, machine learning (ML) or dimension reduction
-
objective is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of the underlying computational techniques. SURE-AI researchers will drive a transformative
-
-based techniques into an existing heterogeneous computing paradigm, and evaluate their solution e.g. on the automated guided vehicles at a partner institution. Their secondary objective will be to develop
-
objective is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of the underlying computational techniques. SURE-AI researchers will drive a transformative
-
collegiate manner to formulate and realize common objectives. Personal qualities Strongly motivated and ambitious. Be structured, targeted and solution oriented. The successful applicant should be creative and
-
measurements that can be directly compared with echocardiographic assessments. A central objective of the project is to investigate the accuracy and limitations of current echocardiographic methods
-
objective to ensure that we achieve a balanced age and gender composition and the recruitment of persons of various ethnic backgrounds. Information about the applicant may be made public even though
-
the objectives of this PhD project. The person appointed will be affiliated with the research group Renewable Energy and Advanced Construction Technologies Laboratory (REACT-Lab). Duties Complete the doctoral
-
), University of Oslo, Norway. CREATE is an interdisciplinary Centre of Excellence funded by the Research Council of Norway with the objective of generating novel knowledge about how to reduce social inequality