71 machine-learning-and-image-processing-"U" PhD positions at Technical University of Munich
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Chair of Biological Imaging 11.07.2023, Wissenschaftliches Personal We now seek a highly qualified and motivated PhD student (f/m/d) to design, develop, and test novel optoacoustic sensing platforms
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is available from 01.11.2025. About us The Chair of Agrimechatronics (Prof. Oksanen) studies especially Intelligent Machines for Agriculture. The research themes include topics like tractors and other
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all over Germany join forces to integrate a thermodynamic description into the processes understanding of soil systems and gain insights into how energy and matter fluxes drive organic carbon dynamics
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, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
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. However, how insects perceive, discriminate, and process the biological information encoded in CHC profiles remains poorly understood. PhD Position: The PhD candidate will investigate the chemoreception
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on mountain forest dynamics, and how these can be moni-tored from remote sensing data. Specifically, tasks include: Processing and analysis of remote sensing data Combining remote sensing and field data
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private machine learning: Differential privacy (DP) is the gold-standard for privacy protection, but deep learning models trained with DP suffer from privacy-utility trade-offs. You will develop novel model
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). The successful candidates will have the opportunity to learn a wide spectrum of genetic, molecular and cell biology, biochemical as well as immunological techniques. They will be exposed to cutting edge methods
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Our research focuses on extracting and isolating bio-based polymers such as cellulose and proteins fromrenewable feedstocks and waste streams. We aim to develop sustainable processes to convert
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Materials” concentrates on the understanding of structure-performance indicators in electrocatalytic reactions. Our catalysts are the heart of sustainable energy conversion processes such as in hydrogen fuel