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is expected to have a profound knowledge on most of the following topics: Robot control Deep Learning Medical imaging Preferably, the candidate has experience with: Robotic simulation tools Medical
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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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states of light, atoms, material objects, and their use for quantum sensing, quantum communication and quantum simulations are the core activities of the group. CBQS is a collaborative effort between the
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models and reinforcement learning models for 3D graphs of materials to explore vast inorganic chemical spaces and design synthesizable energy materials. You will couple such models with physics simulation
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, processing video data, and applying AI models to improve efficiency in population and behavioral analyses. Fieldwork will be combined with statistical and spatial analysis using RStudio and GIS tools. In
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- to profile enhancers and promoters, model their activities and decode their interactions. In this way, we can pinpoint the time point and cell type where genetic variants begin to disrupt normal development
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with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and
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integrated with bioinformatics including large language models. The PhD scholarship includes an obligation for a 9 month research stay at the Chinese Academy of Sciences in Beijing, China integrated with
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well as emerging materials. These experimental techniques will be complemented by advanced electromagnetic modelling. Responsibilities and qualifications The ideal candidate will possess demonstrated expertise in
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on the development of AI models for analysis of cardiac CT scans, with the aim to explore how machine learning models can quantify cardiovascular disease and predict future events from CT scans. The project will