23 parallel-computing-numerical-methods-"Prof" PhD positions at Wageningen University and Research Center in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
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
-
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
-
proven ability to interact effectively with academic and societal stakeholders. Knowledge of qualitative research methods such as interviewing, organising workshops, participant observation and comparative
-
collected in these trials will feed into the development of the Human Dietary Digital Twin—a computational model for the prediction of individual metabolic responses to complex meals. This modeling work will
-
- WUR ), which is led by Prof. Dr. Christa Testerink ( https://research.wur.nl/en/persons/christa-testerink ) and Prof. Dr. Bregje Wertheim ( https://research.wur.nl/en/persons/bregje-wertheim
-
that are still largely controlled with insecticides. Alternative, more sustainable methods to combat these pest are desperately needed. Plants harbour diverse and dynamic microbial communities in and around their
-
-funded research programme 'Fertile Soils', in which interdisciplinary and transdisciplinary research is conducted into integral sustainability and improvement of the relationships between rural and urban
-
Lab of Entomology - WUR , which is led by Prof. Bregje Wertheim ( Bregje Wertheim - Wageningen University & Research ). You will be co-supervised by Dr. Alexander Haverkamp ( Alexander Haverkamp
-
-target areas (such as water, soil, operator, bystander and residents), and to optimize systems to produce food in harmony with nature. The research New spray application methods aim to reduce plant
-
. The project, as a part of the PREDICT project, aims to accelerate the shift toward sustainable and climate-friendly food products by replacing traditional trial-and-error methods with predictive, data-driven