104 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" positions at Aarhus University
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
-
Department of Electrical and Computer Engineering (ECE), Aarhus University (AU) invites applications for a position as Tenure Track Assistant Professor/Associate Professor in electronics
-
research is at the cutting edge of Human-Computer Interaction (HCI), personal fabrication, and physical user interfaces. As a research assistant, you will support our research team on implementing a novel
-
/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
-
in one or more of the languages taught at the department (French, German or Spanish). The successful applicant will strengthen the department’s focus on foreign-language teaching and learning at upper
-
-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and
-
supervision activities and to teach and supervise on the department’s Bachelo r’s (2021), Master’s (2022) and PhD programmes (ICT, Media, Communication and Journalism ). Applicants are asked to indicate in
-
research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
-
higher learning institution in order to apply. Further information If you have any questions please contact Gitte Bindzus Foldager, International Communications and Student Recruitment Manager, e mail: gbf
-
expected to: shine in individual and collaborative research, either to assist groups of bachelor’s students in doing homework or co-teach advanced courses relevant for your research area. The Department