Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
qualifications: Strong skills in structural modeling (preferably discrete choice models or matching models). Proficiency in Python or R for data processing, modeling, and simulation tasks. Experience with large
-
agents, large language models, and artificial intelligence more broadly. The ideal candidate would have prior experience in the design and evaluation of interactive artefacts and have published their work
-
within DanSIC and CIMP. Collaborate with internal and external researchers to design experiments and analyze complex datasets. Perform statistical analyses and data visualization to interpret and publish
-
degree, or have obtained one at the expected start date, in epidemiology or a related discipline and have documented research experience in population-based epidemiology, preferably within reproductive
-
an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
-
to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
-
interested in policing and politics, and who want hands-on experience working with large-scale quasi-experimental data. The project is funded by the Carlsberg Foundation and draws on evidence from some of the
-
collaborations. Your primary qualifications are: Documented research experience in geodetic data science Research experience within marine geodesy is beneficial but not a requirement. You must be willing to learn
-
, material science, physics, electrical engineering or similar) and with previous experience relevant to the mentioned project may seek the position. Preferred candidates have experience with some of the
-
or related fields that include research on minorities and/or education. Applicants should be able to document, relevant to the position: solid experience in planning, conducting, analysing and disseminating