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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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(hereafter, large grazers) are also increasingly used in nature management. For a densely populated country like the Netherlands, this means that there are constant interactions between people and wild mammals
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from storms by large storm surge barriers such as the Oosterschelde and the Maeslant barriers. But: what is the role of these barriers in the future? There are many uncertainties about their long-term
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AI-driven FAIR data extraction and harmonization By converting clinical notes and cohort variables into standard coding systems you will help create sufficiently large datasets for automated analysis
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consequences for their functioning. The aim is to address the existing gap in systematic, large-scale research on this issue. Your job Associations have played a major part in various periods in Western European
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’ sending and receiving regions. It uses big data and agent-based modelling to analyse the impact of those changing patterns of spatial mobility on EU regions and envisage policies to counterbalance
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development of an IT architecture for Freight Mobility as a Service (FMaaS). The successful applicant will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech
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a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
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disclosure on this topic. For instance, as of 2024, the European Corporate Social Responsibility Directive (CSRD) mandates disclosure and assurance of non-financial information for large firms. This project
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aim to improve prediction and prevention of HF. Our aim is to better classify and mitigate the risk of CVD, in particular HF. Through access to large population-based cohorts data, we seek to identify