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Field
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a diverse international team of postdoctoral researchers, PhD candidates and technicians with complementary expertise in modelling, molecular biology, genomics, microbial physiology, synthetic biology
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In collaboration with Utrecht University, you will quantify fire dynamics and its impacts on vegetation and climate at regional scales, combining global vegetation models with state-of-the-art
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research Strong quantitative skills, including experience with regression, structural equation modeling (SEM), and multilevel modeling (MLM) Experience with measurement development, factor analytic methods
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through a unique model based on partnerships and by fostering the development of skills essential for Africa’s future. Located in the municipality of Benguerir, at the heart of the Green City, Mohammed VI
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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candidate will help design, implement, and evaluate a novel science-policy engagement process that combines climate modeling, role-play simulations, future storytelling, and participatory workshops
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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in Memory (PROMEMO) funded by the Danish National Research
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systems. We work to elucidate how system structure mediates sustainability outcomes from management change or policy implementation. Our applied work consists of modeling and field-based collaborations with
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40 scientists, postdoctoral researchers, and PhD students working on the interpretation of satellite observations, atmospheric modelling, data science, and the development of future Earth observation