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PhD in Biofabrication technologies for in situ control of cellular environments Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 36
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sciences » Public policy Sociology » Social shaping of technology Sociology » Societal behaviour Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 20 Feb 2026
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: Statistics, Mathematical Statistics, Mathematics, and Social Statistics We also welcome applications from candidates with a background in the social sciences, provided they have advanced training in
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and ethically aligned advancement of animal-free technologies for biomedical translation and risk assessment. As a successful applicant, you will work within and in interaction with the Ombion-CPBT
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, provided they have advanced training in methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid
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of research); has experience with large-scale, complex data sets and advanced statistical methods; enjoys doing research and reporting the results in scientific articles; want to share scientific knowledge with
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hands-on methods to support the responsible, societally and ethically aligned advancement of animal-free technologies for biomedical translation and risk assessment. As a successful applicant, you will
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and executing an original PhD research project on the economic impacts of NbS in water-resilient landscapes. Applying advanced economic methods (e.g. DiD, impact evaluation, cost-benefit analysis) using
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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approach and based on a well-established Indonesian-Dutch research consortium, this project contributes to multiple SDGs while advancing the Indonesian Vision 2045 and Blue Economy Roadmaps of Indonesia and