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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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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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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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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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system and in the combination of both materials in the spectral range > 1.5 µm You will calculate, simulate and optimize fiber components (pump couplers, wavelength-division multiplexers, filters, mode