Sort by
Refine Your Search
-
synchrotron beamline provides a unique environment for developing novel diffraction methodologies, data-analysis workflows, and experimental capabilities. The candidate will have access to state-of-the-art
-
. Read more about the ABIS Project here: https://www.sdu.dk/da/nyheder/nnf_bevilling_dannelsesbegreb The position The position contributes to the theoretical and innovative work of the ABIS project, which
-
/or eating disorders, data analysis and statistical modeling. Prior experience working with Danish registers is an advantage. As a person, the ideal candidate will have good interpersonal skills, will
-
to experimentally derived disorder models and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction, solid-state NMR and electron microscopy. Work closely
-
engineering, joined in the effort to solve one of the greatest challenges of this century. For more information on the CO2 Research Center, please visit www.corc.au.dk By using your expertise in microbiology
-
experimental campaigns and use measured data for model calibration, validation and uncertainty analysis. Work closely with ECA Engineering and industrial partners operating full‑scale or pilot pyrolysis plants
-
of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data-Intensive Systems group studies management and analysis of complex
-
monitoring, control and predictive analysis during experimental operation. Both positions include reporting and publication of the results, and the opportunity to contribute to the supervision of PhD and MSc
-
with multi-colour flow cytometers. Project experience in virology preferentially knowledge of working in biosafety class 2/3 virus production and virus infected cell culture Single-cell analysis
-
others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent frameworks). Hands-on experience with data representation and embeddings, ideally applied