11 machine-learning-"https:"-"https:"-"https:" Postdoctoral positions at Aarhus University
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent frameworks). Hands-on experience with data representation and embeddings, ideally applied
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: Overcoming Inequity in Embodied Learning in Danish Vocational Education and Beyond, funded by Independent Research Fund Denmark. This is a full-time (37 hours per week), fixed-term (24 months) postdoctoral
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-in-research-and-development/software-engineering-computing-systems Further details about the Department of Electrical and Computer Engineering can be found here: https://ece.au.dk/en/about-the
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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logical way and parametric simulation engines. Familiarity of machine learning / AI techniques and custom LLMs generation is beneficial. Knowledge of life cycle assessment (LCA) and LCA methods, carbon
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including bio-informatic processing To have experience with nucleic acid molecular manipulation incl PCR and experience in next generation sequencing -primarily on the illumina platform. To be eager to learn
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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are motivated to learn EV and small-RNA methods are explicitly encouraged to apply. Required qualifications PhD degree in Plant Science, Plant Physiology, Plant Molecular Biology, Microbiology or a related