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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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analyzing whole organism models (zebrafish and mouse) to dissect the pathophysiology of a recently identified rare pediatric neurometabolic disorder. The approach involves mainly deep longitudinal phenotyping
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farm-scale modelling of nutrient flows. Food security, climate change and loss of biodiversity represent three of today’s major societal challenges. Finding solutions for all these challenges requires
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: The Chakrabarti lab studies the intricate cell signaling pathways between immune cells and cancer stem cells in breast cancer. We utilize a variety of cutting-edge technologies and models to address fundamental
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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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-pathogen interactions. Ideal candidates will have experience in: Microbiome research (e.g., culturing, gnotobiotic models, 16S or metagenomic sequencing) Molecular microbiology or bacterial genetics Host
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by Prof. Dr. Matias Simons is recruiting a motivated postdoc to lead research projects in lipid cell biology and metabolism with the help of the Drosophila model. The mission of the Nephrogenetics
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experience in molecular modeling, virtual screening, quantum chemistry, or machine learning for drug discovery are especially encouraged to apply. Required Skills, Knowledge, and Abilities Strong background in
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influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT
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. The successful candidate will apply molecular, imaging, and electrophysiological methods to investigate the molecular mechanisms of somatic mechanotransduction. We use genetic mouse models and human cells to gain