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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
These positions will play a key role in shaping the computational and experimental pillars of our closed-loop discovery platforms that integrates artificial intelligence, physics-based modelling
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team. The publication pipeline includes papers on main trial outcomes, secondary outcomes, moderators of treatment effects, and prediction based on baseline data. Research tasks The main tasks will
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possible thereafter. The research to be addressed AI has been applied to Software Engineering for some time, and in areas such as software effort estimation, defect prediction, and software development in
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or bacterial or parasitic) as well as their metagenomic sequence datasets available within the EUPAHW- JIP2 - SOA23 consortium and/or in public databases with an overall aim of predicting and preventing
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or bacterial or parasitic) as well as their metagenomic sequence datasets available within the EUPAHW- JIP2 - SOA23 consortium and/or in public databases with an overall aim of predicting and preventing
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bioinformatic pipelines and machine-learning approaches for genotype-based AMR detection and prediction, plasmid characterization, molecular typing, genomic epidemiology and One Health surveillance Independently
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. e3002858. https://doi.org/10.1371/journal.pbio.3002858 . Hoy, C.W. et al. (2023) “Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex,” Nature Communications, 14(1