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of the greatest challenges of our time. As a Postdoctoral Researcher, you will develop models that make the energy grid smarter and directly help reduce grid congestion in the Netherlands. The energy transition is
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challenges of our time. As a Postdoctoral Researcher, you will develop models that make the energy grid smarter and directly help reduce grid congestion in the Netherlands. The energy transition is one
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, or experience in, advanced statistical analyses (including linear mixed-effects models and computational learning models) in R or similar statistical analysis tools. You are able to participate effectively in
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the theoretical framework developed on empirical data currently collected independently in the project. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological
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detailed insights in their regeneration processes are limited. In this project, you will use tomato as a main model species, supplemented with work in Arabidopsis thaliana. You will use molecular techniques
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the project. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological Indicators 79: 114-121. You will be part of the WP3 team consisting of Prof. Jan Hendriks, Dr Wilco Verberk
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) assessment. You have affinity with, or experience in, advanced statistical analyses (including linear mixed-effects models and computational learning models) in R or similar statistical analysis tools. You are
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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record
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research activities related to governance models, investment prioritisation, and EU alignment pathways. Assist in translating research findings into policy-relevant insights and advice. Draft policy reports
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the project’s analytical framework. Co-develop and support research activities related to governance models, investment prioritisation, and EU alignment pathways. Assist in translating research findings