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research programme TRACE (Transformations, Communities, and Environments), we are committed to internationally oriented, interdisciplinary research. With two Bachelor's and seven Master's programmes
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. Research activities will consist of literature reviews, case analyses, stakeholder interviews, and the collection and analysis of primary and secondary empirical data from local communities in which public
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or closely related topics. You are interested in interdisciplinary collaboration and willing to engage seriously with fields outside your own primary discipline. You are communicative, curious, critical, loyal
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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freedom to develop original mathematical ideas while contributing to a coherent long-term research programme at the interface of geometry, analysis, scientific computing, and computational mathematics
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, flavor, food & agricultural, and high-tech industries, and revolve around 4 main themes, Cell & Systems biology, Neurosciences, Microbiology and Green Life Sciences. The Faculty of Science has a student
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master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis, interpretation, and scalability of Remote Sensing data. The successful
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for applications in space planetary protection. Specifically, with regard to space debris mitigation, the Independent Safety Office acts as ESA’s Technical Authority and its main functions are: custodianship and
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partners for testing and dissemination; supervising Bachelor and Master thesis projects. What we ask of you We are looking for someone who is passionate about open science, and excited to work with a diverse
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pretraining and downstream predictive and generative applications. Your main responsibilities are to: design, implement and benchmark foundation-model architectures for microbiome data, including transformer