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Associate Professor or DTU Tenure Track Assistant Professor (junior group leader) in High-through...
) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed
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Associate Professor or DTU Tenure Track Assistant Professor (junior group leader) in Fermentation...
) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed
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Associate Professor (Independent Group Leader) in Data Science and Modelling of Whole-Cell Biosol...
) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed
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, including bias mitigation and reinforcement learning techniques. Proficiency in Python and standard NLP libraries (e.g., Hugging Face and PyTorch). CHC is a research and development unit at Aarhus University
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streams—including data streaming to cloud databases, scientific visualization, and integration of machine learning workflows. Development of additional modules within commercial FE software (ABAQUS, MSC
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will lead efforts to apply state-of-the-art AI techniques (machine learning, deep learning, generative models, etc.) to the discovery and development of new materials in critical domains: water, energy
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methodologies in machine learning and causal inference applied to human health. Read more about NCRR here . Your job responsibility With a motivated, interdisciplinary team of approximately 70 researchers and
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with statistical and numerical analysis methods as applicable to strain design problems is a distinct advantage. Familiarity with machine learning tools such as PyTorch, HuggingFace transformers and
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. The candidates will be responsible for collaboratively building up the area of supply chain digitalisation with a primary focus on data governance, artificial intelligence, and applied machine learning. Successful
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methodologies in machine learning and causal inference applied to human health. Read more about NCRR here . Your job responsibility With a motivated, interdisciplinary team of approximately 70 researchers and