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interplays that lead to lower infrastructure demand in the long run and reveal pathways to turning points in infrastructure use through a systemic modelling approach. Essential activities within your project
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
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receptive to diversity in disciplines, cultures, ideas, nationalities, beliefs, preferences and worldviews. We believe that trust, respect, interest and differences lead to new insights and innovation
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lead to better and fairer outcomes—challenges such as cognitive overload, uncalibrated (dis)trust in AI, and unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project
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. The candidate will join a lively and highly international team of PhD and Master students working on human demography, and ecology and evolution in wild animals, supported by laboratory and analytical technicians
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poised to lead the transition to animal-free biomedical innovation by establishing the Ombion Centre for Animal-Free Biomedical Translation external link (Ombion CPBT). Our goal is to improve biomedical
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. • Has strong analytical skills and can work independently. • Has excellent communication skills in Dutch and English. • Is comfortable with both quantitative and qualitative methods (surveys, interviews
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imaging. Strong analytical skills and experience with medical imaging technologies and data analysis. The ability to work collaboratively in multidisciplinary teams and communicate effectively across
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satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is to be discussed. This should lead to a dissertation (PhD thesis). We will draft an educational plan
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@liacs.leidenuniv.nl . Applications Please submit your application online via the blue button in the vacancy. Please ensure that you upload the following additional documents quoting the vacancy number: Motivation