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/360524/phd-position-in-regulatory-inno… Requirements Specific Requirements You are inherently curious and keen to develop your skills at the intersection of science, policy and practice. In addition, you
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include: conducting theoretical and empirical research on the project’s topic, resulting in a PhD dissertation and journal publications; participating in the teaching and research activities of the Public
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
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-develop practical approaches through workshops and working sessions. You will embed yourself in ongoing change processes and help collectives envision and develop the organisational and digital tools
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experiment with new solutions and co-develop pathways of how academic systems can better support just sustainability transitions. Job requirements As a PhD researcher, you will develop and carry out your own
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Master's thesis. After an initial selection based on the CV, sample of writing, and the motivation letter, selected candidates will be asked to develop a short research proposal. Based on this proposal
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project team. Proven programming skills in Matlab and/or Python Motivated to develop your teaching skills and coach students Fluent in spoken and written English (C1 level) Additional Information Benefits A
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research will develop statistically rigorous and operationally feasible validation methods for near-real-time monitoring. The methods will be applicable to both single-class alerts (e.g., forest loss) and
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for the degradation, and develop in-situ optical sensing platform (e.g., UV-VIS and Raman spectroscopies) to monitor the degradation rate. You will work closely with industrial partners to source the starting polymers
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at the Tinbergen Institute. - Education tasks (comparatively low loads): teaching and thesis supervision, mostly within the Bachelor Programme Economics and Business Economics, including (applied) econometrics