-
. Experience with quantitative cell biology and computational modelling, especially using R, is an advantage. Experience with applied statistics is an advantage. Applicants must be able to work independently and
-
research, combining laboratory and computational work. Experience with live-cell confocal microscopy is an advantage. Experience with quantitative cell biology and computational modelling, especially using R
-
the master's degree has been awarded. The candidate must have good knowledge in atmospheric dynamics. Proficiency in scientific coding and data analysis (e.g., Python, MATLAB, R, C++, FORTRAN) is required
-
cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g., Python, Matlab, R) is required. Knowledge of climate
-
using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes