14 data-visualization-analysis Postdoctoral positions at University of Copenhagen in Denmark
Sort by
Refine Your Search
-
related area (mandatory). Ability to independently conduct liquid chromatography-mass spectrometry (LC-MS)-based peptide analysis/proteomics, including proficiency in related data processing software
-
differentiation pathways are influenced by different microenvironments. We use state-of-the-art single-cell data generation combined with computational analysis to establish principles of blood lineage
-
synthetic biology. Further information on the Department is linked at (https://www.science.ku.dk/english/about-the-faculty/organisation/ ). Inquiries about the position can be made to Assoc. Prof. Johan
-
. Familiarity with tools such as Aspen Plus, COMSOL, or similar for process simulation, as well as experience with techno-economic analysis (TEA), will be important for guiding the design and assessment of our
-
on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in
-
Postdoctoral position in mathematical modelling of cognitive processes to be filled by 1 September 2025 or as soon as possible thereafter. The position is for 2 years. Information about CoInAct can be found
-
WHENCE project here: https://inspire.ku.dk/research-activities/whence/ . For further information about the position, please contact the PI of the project, Professor Sabrina Ebbersmeyer, e-mail: ebbersmeyer
-
, modeling of topological superconductors, protocols for observation of nonlocal quantum information storage, topological effect in open system, or next generation superconducting qubits using hybrid materials
-
/education/files/job-structure-for-academic-staff-at-universities-2013.pdf For further information about the position, please contact the PI Andreas Bandak, e-mail: bandak@hum.ku.dk Application Submit
-
experiments. Oversee data collection, ensuring accuracy, integrity, and confidentiality. Troubleshoot and address challenges arising during experiments. Ensure all experimental procedures comply with ethical