36 optimization-nonlinear-functions Postdoctoral positions at Aarhus University in Denmark
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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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The Department of Food Science, Aarhus University (Denmark), invites applications for a 24-month postdoc position to work the physical chemistry of food proteins, in particular their structure
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applicants an exciting opportunity to join our research project to investigate how the difference in kinetics between acetogenic bacteria affect their microbial electrosynthesis performance. The position is
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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around 300 staff and 700 students. The focus of both our research and educational work is orofacial health as an integral part of general health, and our collaboration is built on respect, trust
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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researcher position in computational history, as part of the interdisciplinary Golden Matrix project. The position is set to start 1st June 2025 or as soon as possible thereafter. About the Project The Golden
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for improved daily model calibration. The postdoc will be part of a research environment focusing on the Green Transition of Crop Production. This will involve optimizing and exploiting the potential
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, hosted at the Department of Biomedicine, Aarhus University. Our group focuses on the transcriptional and functional diversity of hypothalamic and thalamic cell types across development and disease. We use
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contributing to plant-microbe associations is a central theme in the group. Our microbial and plant genetics studies using simple and complex communities aim to elucidate plant and microbial functions governing