316 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Oslo
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
-
Research Infrastructure - the European distributed research infrastructure for brain and brain-inspired research (https://ebrains.eu ). The position is related to workflow development and pilot analyses
-
the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must
-
English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
-
requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as
-
: https://www.mn.uio.no/ibv/english/people/aca/dirkl/index.html Co-supervisors: Håvard Haugen (Corticalis AS), Susanna Fagerholm (University of Helsinki) Project description The PhD candidate will study
-
of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
-
registries, advanced analytical methods, and clinical trial data to inform regulatory decisions, clinical practice, and public health. Read more about UIO:RWE here: https://www.uio.no/english/research
-
Machine Learning. We are looking for a motivated candidate, who has interest in both theoretical, methodological and applied research in anomaly detection in sequential data settings, and who is excited
-
-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction