13 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Essex" PhD positions at Vrije Universiteit Brussel
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, require optical microscopes that can capture spatial and spectral information simultaneously, while remaining fast, data-efficient, and suitable for in-situ use. However, conventional hyperspectral
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to pose increasing risks to public health in Europe. This project aims to develop a new data-driven framework to assess invasion risk and optimize mitigation and surveillance strategies in the EU. The
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fully funded PhD position in machine learning, AI, and data science for public health within the Electronics & Informatics Department (ETRO) of Vrije Universiteit Brussel (VUB). The PhD is embedded in
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, the project combines: Quantitative analysis of eviction court data; Qualitative interviews and ethnographic fieldwork with institutional actors and residents at risk of eviction. You will conduct in-depth
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, the project combines: Quantitative analysis of eviction court data; Qualitative interviews and ethnographic fieldwork with institutional actors and residents at risk of eviction. You will conduct in-depth
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, the project combines: Quantitative analysis of eviction court data; Qualitative interviews and ethnographic fieldwork with institutional actors and residents at risk of eviction. You will conduct in-depth
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holography to ultra-wide-angle, ultra-high-resolution holography presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new
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of climate variability and change on child health outcomes across Sub-Saharan Africa by combining epidemiological data analysis with advanced Earth system modelling. The research will involve running
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statistics. You will also collect data independently, conduct surveys and organise workshops with companies, policymakers and academics, under the supervision of two academic promoters. In addition, you will
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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal