Sort by
Refine Your Search
-
Your job As PhD candidate, you will be part of the project SHIELT – Shelf-life for plant-based meat alternatives. This project aims to develop predictive microbiology and risk assessment tools
-
The successful candidate should have: Master’s degree in Industrial Engineering and Management, Mechanical Engineering, Energy Systems, Control Engineering, Data Science, or a related field, with solid foundations
-
spanning nanomedicine and fundamental science to social science; policy-makers, regulatory bodies; industry, patients and citizens) in order to accelerate and support the development of novel nanomedicines
-
geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
-
of Applied Science, supervisors from the Construction Management Engineering cluster at the University of Twente, and a strong network of industry partners in the Dutch construction sector. Information and application
-
, government entities, industry partners, NGOs and citizens – to collaboratively make sustainable change. Through transdisciplinary action research, the consortium investigates conditions for collective learning
-
at Wageningen Social & Economic Research to larger teams consisting of researchers from different organisations and subcontractors. These could be from WUR divisions, such as Wageningen Plant or Livestock
-
interception leaves, nitrogen and water uptake and transport, and temperature. This approach will result in a model that can predict plant performance for the different crop species under a range of (stress
-
Creative Industries, with a specific focus on Cultural work and activism at a time of political and ecological crises. The PhD project will be part of a wider research agenda on activism and creative work
-
guidelines to industrial partners in the project. Your tasks include: investigate the effect of different ingredients on different textural properties of vegan alternatives; quantify different structural