Sort by
Refine Your Search
-
and optimize production systems across the entire supply chain, contributing to sustainable and efficient horticulture. Where to apply Website https://www.academictransfer.com/en/jobs/361987/phd-in
-
-driven approaches, the group aims to predict plant performance and optimize production systems across the entire supply chain, contributing to sustainable and efficient horticulture.
-
Are you interested in optimization and data science? Are you motivated to contribute to answering one of the key challenges facing agricultural systems today: how can agricultural supply chains
-
the Netherlands and the United States and will employ 11 PhD candidates, 1 EngD candidate and 4 postdoctoral researchers. You will closely collaborate with another PhD candidate developing optimization and
-
to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic
-
: designing, performing and interpreting experiments for simultaneous texturization and flavor generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your
-
Utrecht, CWI, Dutch municipalities, DSOs, and other societal/industry partners. The project brings together expertise in energy informatics, optimization, data science, social sciences, and governance
-
brings together expertise in energy informatics, optimization, data science, social sciences, and governance to develop trusted data-sharing solutions for the heat transition. Within the project, you will
-
through prediction of optimal growth and elicitation conditions, and (iii) consolidate results into standard operating procedures and a transferable AI agent applicable across species.
-
generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your results in peer-reviewed scientific journals and presenting them at (inter)national scientific