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firn- and hydrology modelling. Your work will contribute observations that are essential for evaluating firn- and hydrological models and for understanding ice-sheet-wide change. Your results will be
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Build, Division of Civil and Environmental Engineering, within the general study programme Civil Engineering and work with numerical modelling, time series analysis, and soil characterization
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
systems that reveal possible endocrine disrupting effects of chemicals in model organisms, for example, fish and invertebrates. Research project: The objective of the project is to investigate and pre
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deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine which features are relevant? These questions
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and structure of healthy anatomy and detect any deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine
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to the position Certified copy of original Master’s diploma and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish
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, cryo-electron microscopy (cryo-EM), cryo-EM-based polyclonal serology (cryo-EMPEM), molecular dynamics simulations, machine learning, and structural biology to define epitopes and engineer improved
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Learning models to understand and predict interactions in dynamic ecological networks. Our lab is looking for candidates for the following stipend: Learning the Structure and Dynamics of Complex Networks We
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of abstract systems and structures. The majority of the work will be theoretical, but for certain problems it may be relevant to set up simulations in a quantum network simulator such as NetSquid or Q2NS
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methods in practice. This includes the ability to design, implement, and critically reflect on computational approaches such as machine learning models, large language models, and/or advanced data