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-behavioral biases are most critical in facilitating climate risks to become systemic. This data collection and analysis work will benefit from the computational agent-based and macroeconomic modeling (carried
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microfluidics, ultrasound modeling and signal analysis. Three junior researchers will work synergistically to achieve a framework for improved image-based cancer diagnostics, consisting of an experimental model
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? And how much can we trust the reconstruction? Answering these questions requires pushing the limits of numerical analysis and computation for wave equations and inverse problems. As a PhD candidate, you
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– TSHD) and Jheronimus Academy of Data Science (JADS) host a fully funded PhD position within the NWO-funded project NEPTARGOS – Nautical Empowerment for Proactive Threat Analysis and Resilience with
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clustering and pattern analysis. Experience with machine-learning algorithms is a plus. You are open to work in a team and to communicate with different partners from university, water boards and research
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in and strong motivation for scientific research explained in a statement of purpose. Strong skills in quantitative empirical analysis/applied micro-econometrics. GRE test is required for all entering
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greenhouse and lab experiments to further estimate the role of microbiomes in climate resilience of the novel protein crops Perform a meta-analysis on microbiomes under protein-crops Participate in a larger
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models for corneal regeneration through state-of-the-art (single-cell) multi-omics analysis. You will collaborate with other doctoral candidates in STEM-CORE through joint projects, secondments and network
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the design and analysis of such models. PhD position 1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD
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do caregivers strike a balance of children’s individual needs in dyadic caregiver-child relations and the dynamics of the group? (Study 4) The project involves: quantitative analysis of large-scale