Sort by
Refine Your Search
-
processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
-
, for that reason you need to fullfill the following requirements: Have good understanding in hydrological and hydraulic processes with relevance for irrigation and drainage Have knowledge in programming in R and
-
analysis and data handling (e.g., R or other relevant platforms) Experience conducting ecological fieldwork, preferably in remote or tropical environments Practical experience in laboratory techniques
-
of innovation and/or industrial policy in Africa. - Experience with Research and Development (R&D) and/or innovation data collection initiatives within the African Union. - Experience with STI capacity building
-
substantial experience in metabolomics data analysis. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or
-
. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or Python for scripting and data analysis, metabolite ID via
-
experiments is required. A strong record of peer-reviewed publications in relevant areas, as well as documented proficiency in R, GitHub, and related tools such as Shiny apps, is essential. Experience in