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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
contexts Strong programming skills and deep learning frameworks Familiarity with generative models (e.g., diffusion, GANs, autoencoders) or virtual staining concepts Excellent teamwork and communication
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at Washington University in St. Louis More Jobs from This Employer https://main.hercjobs.org/jobs/22455807/postdoctoral-research-associate-fundamental-tumor-immunology-radiation-oncology Return to Search Results
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or deep learning reconstructions). Knowledge of radial data acquisition strategies, artifact mitigation methods, and their use in parametric imaging (e.g., T1/T2/T2* mapping). Preferred Qualifications
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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monitoring systems, bedside monitoring devices, or medical device data. Experience linking physiologic waveform features to clinical outcomes. Experience with machine learning, deep learning, predictive
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autonomy. Influences others regarding policies, practices and procedures. Essential Functions: 60% of Time the Research Scholar may: • Lead development of deep learning algorithms capable of identifying
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and dedicated PhD-student funding. Subject Polymer Technology with a focus on Polymer Chemistry. Subject description Deep knowledge in polymer technology and polymer chemistry is crucial
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has a fixed-term opportunity for a Postdoctoral Fellow / Senior Research Fellow to contribute to world-leading research in continual learning, computer vision, multimodal foundation models, and
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staff position within a Research Infrastructure? No Offer Description Activities: The scholarship recipient will be responsible for implementing and comparing quaternion-valued deep neural networks
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network inference and modeling, machine learning and deep learning. Experience in working with Arabidopsis and plant genome data is a strong plus. The position is expected to continue for multiple years