Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about developing the sustainable aircraft technogies? Apply for an R&D position that focuses
-
) and ESCH-R (Home - ESCH-R Consortium Opens external ), while also having the intellectual freedom to develop your own research lines. Working in a multidisciplinary environment, you will collaborate
-
with programming in MATLAB/R/Python or similar. You have an affinity for teaching and supervising students. You are a team player, both in an academic setting and in collaborations with industry. We
-
qualitative interviews and survey methodologies, demonstrated by published research in the field. Proficiency in programming languages (e.g., R, Python, Stata) for data analysis. Experience with assistive
-
. Engel and R. Gvalani. Separation of time scales in weakly interacting diffusions, arxiv, pp. 1-30, submitted preprint, 2025. [2] A. Blessing, A. Blumenthal, M. Breden and M. Engel. Detecting random
-
bioinformatics and data analysis (i.e. R, Python, Perl) is a significant plus. Organisation Conditions of employment We offer you in accordance with the Collective Labour Agreement for Dutch Universities (https
-
programming languages such as R (Experience with NetLogo is preferred but not essential). experience in the development and use of spatial microsimulation and a familiarity or willingness to learn agent-based
-
, Python, and R. The candidate should have a strong capacity to understand processes underlying pro-environmental behaviour from different perspectives, enabling them to simultaneously understand, use, and
-
candidate should be highly proficient with Python and R, and preferably also Javascript. Ideally, they also have expertise in experimental research (e.g., in some aspect of social cognition) and an interest
-
carbon budget data and environmental data analysis (preferably in R or Python), or farm scale economics or components of a life-cycle assessment (LCA). You are able to perform well in interdisciplinary