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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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community, and highly livable with a green-banked meandering river cutting through the center, and attractive residential areas. For further information about the position, please contact the Head of Digital
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University with related departments. Contact information For further information, please contact: Professor, Duncan Sutherland, +45 23385789, duncan@inano.au.dk. Application procedure Shortlisting is used
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candidate is expected to contribute to the overall objectives of the project by being involved in the project management, data collection, and data analysis. The candidate is also expected to contribute
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candidates, the committee can only be expected to look into individual scientific results amongst those contained in publications submitted with the application. Contact information The relevant person
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expected to look into individual scientific results amongst those contained in publications submitted with the application. Contact information The relevant person to contact is listed in each position
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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here . Further information Further information may be obtained from Associate Professor Yang Hu (yanhu@dtu.dk) You can read more about DTU Energy at www.energy.dtu.dk If you are applying from abroad, you
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functional genomics methods (e.g., ATAC-seq, ChIP-seq, CUT&RUN) and omics data analyses is considered highly advantageous. Selected references: Jakobsen et al., 2024. MYC activity at enhancers drives
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computer architecture. Responsibilities and qualifications You are expected to conduct independent research in collaboration with and under the guidance of experienced colleagues. Additionally, you will be