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summary The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with
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information. The techniques include image registration, segmentation, and regression/classification, often include deep learning-base implementations. Together with experts in epidemiology, genetic, and multi
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information. Jenny Russinova lab at PSB focuses on research on brassinosteroid hormones (https://www.russinovalab.be). Job description Phytohormones play a central role in regulating cell division and
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in the hard tissues (cartilage, bone, and scales) of fish are increasingly being used to interpret the environment, age animals and answer questions around connectivity and habitat partitioning in
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systems able to make extremely high time frequency images of roots in situ in the field (https://doi.org/10.1093/jxb/erac427). The entire, multi-person project will interpret the dynamics of root properties
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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own research agenda, and developing your personal research profile. Pursuing a doctorate in economics under the supervision of your division head at ifo, Prof. Dr. Oliver Falck, at the LMU Chair
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of the fusion of disciplines; Division of Transdisciplinary Sciences and Division of Nano Life Science. ＃Division of Transdisciplinary Sciences The Division of Transdisciplinary Sciences aims to create new
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Finite Element Model of the Larva Body: Utilise existing Drosophila larva CT-scan data to segment components such as the cuticle, muscles, and mouth hook. Implement finite element simulations within
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of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and