Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
essential part of the work consists in developing methods that extract physical observables from quantitative experimental data provided by our collaborators. The biological setting is the DNA damage response
-
at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant
-
strong interest in paleoclimate, marine geology and/or paleoceanography. Experience with one or more of the following would be an advantage: marine sedimentology and sediment-core analysis, geochronology
-
research skills and experience in mixed-methods evaluation. Both positions include a research stay abroad. You will have the opportunity to shape the project further based on your interests. Scientific
-
Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
-
related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
-
related discipline. A strong foundation in at least one of: electrochemical or energy-system modelling, dynamic modelling and control, mathematical optimization, or data-driven modelling. Experience with
-
-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
-
experimentation. The PhD student will develop models and algorithms for the joint design of sensing, communication, inference, and action, and is expected to contribute to a real robotic platform integrating
-
international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research