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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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With its focus on future-relevant key technologies and the utilization of results in economy and industry, the Fraunhofer Society plays a central role in the innovation process. As a guide and
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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At the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, we turn the latest scientific findings into technical innovations and want to make our contribution
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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Job Advertisement 2025-05 23.07.2025 The Leibniz Institute of Atmospheric Physics (IAP) seeks applications for a Data and computer scientist (f/m/d) The position is limited to 2 years with option
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processes that produce energy and raw materials. The Institute of Radiopharmaceutical Cancer Research develops radiotracers for imaging of cancer biomarkers and personalized therapies. In a joint effort of
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learning, or signal processing; familiarity with microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows