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Your Job: In this master’s thesis project, you will focus on the application of visual foundation models for the automated analysis of grain growth in nanocrystalline metals imaged by in situ
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images and CNC-integrated camera videos. Your task will be to generate AI pipelines to detect and measure flank wear according to ISO DIN 8688-2 in centralized, individual, and federated learning scenarios
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will be jointly supervised by the “Clinical Bioinformatics — Translational Genomics” group (Division of Pediatric Neurooncology). Through this multidisciplinary approach, the lab seeks to reveal how
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Your Job: Combine multimodal brain imaging with advanced image-processing, data science, and AI techniques to perform image alignment, segmentation, and classification to construct and validate
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and University Hospital offer excellent opportunities for clinical translation of novel immune cell products. The Division of Functional Immune Cell Modulation, led by Professor Luca Gattinoni
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and University Hospital offer excellent opportunities for clinical translation of novel immune cell products. The Division of Functional Immune Cell Modulation, led by Professor Luca Gattinoni
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Adversarial Networks (GANs) or similar techniques. Image segmentation may be required. Train and validate ML-based surrogate models using both experimental data (e.g., Electrochemical Impedance Spectroscopy
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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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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves