65 parallel-computing-numerical-methods positions at Wageningen University and Research Center
Sort by
Refine Your Search
-
program tailored to your needs and the research team. The gross salary for the first year is € 2.901,- per month rising to € 3.707,- in the fourth year in according to the Collective Labour Agreements
-
package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
-
co-design adapted and new methods to enhance reflection and learning in and adaptive capacity of learning-oriented experiments. The intended start date of your employment is 1 November 2025 and the
-
this diversity came about during billions of years of evolution. To do this, we employ a variety of approaches, including cultivation-independent methods (e.g. metagenomics, comparative genomics, phylogenomics
-
interdisciplinary research. In addition, you possess: a completed MSc degree in economics, environmental science, or a related field; a solid foundation in applied quantitative methods (e.g., econometrics, spatial
-
the DROPapp by integrating local and scientific knowledge. In this project, you will integrate the local forecasts based on observed local ecological indicators and scientific forecasts based on numerical
-
(MBA), or a willingness to obtain this diploma (we cover the costs); Extensive knowledge and experience in poultry farming and/or other agricultural sectors; Strong numerical skills, experience with
-
have strong numerical skills, are familiar with digital accounting systems and/or financial automation, and you work accurately with great attention to detail. You can work well independently as
-
. You have substantial knowledge and experience with pig farming operations and/or businesses in other agricultural sectors. You are numerically strong, experienced with digital accounting systems and/or
-
, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic