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data analyses (e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Reaching climate targets requires
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Description The research team at the Bosch Center for Artificial Intelligence (BCAI) provides the opportunity for candidates currently enrolled as PhD students in machine learning, computer vision, or a related
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Exciting Opportunity: PhD Position in Deep Learning for Nanoscale Image Analysis at UMG GöttingenJoin our team led by Prof. Rizzoli and Dr. Shaib to develop deep learning algorithms and generative
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acquiring such data is challenging. By merging the capabilities of NeRF with 3D generative models, this PhD project aims to address the challenge of large-scale data availability through the automatic
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overview: Proteins are molecular machines that control and execute virtually all cellular processes. The intricacy of the protein synthesis process, requiring the transfer of information from DNA to RNA and
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that generalize well on different domains and types of radar sensors. Develop and improve deep learning algorithms for radar! Original research, collaboration with machine learning and radars experts from academia
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focus on biometrics, with special emphasis on computer vision and machine learning. As one of our research associates, you will also be part of the National Research Center for Applied Cybersecurity
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conversion of waste heat into energy. Applications include, for instance, wireless sensor networks for IoT, Industry4.0 (e.g., health monitoring of machines, industrial and civil structures) as well as novel
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Your Job: You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work with a multidisciplinary team of enthusiastic data scientists
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generative models, this PhD project aims to address the challenge of large-scale data availability through the automatic creation of photorealistic simulated environments. As a PhD candidate, you will delve