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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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Dynamics (W-0041 | all genders) in the broad field of climate dynamics. Areas include, but are not limited to, cloud-circulation coupling, climate feedback and sensitivity, polar climate change, and large
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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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Research Associates (Doctoral Candidates) (f/m/d) within the Cluster of Excellence “The Ocean Floor"
ecosystems on the ocean floor react to environmental changes and (iv) develop scenarios for a “warmer world” from climate archives on the ocean floor with the help of climate models. Further information about
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relevant experience in management and administration in a similar position; knowledge of the structures of large research groups and university administration Experience in drafting manuscripts and research
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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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-Firmenticket that is partially subsidized. This is a fixed-term position limited to a period of 3 years. Remuneration is paid according to TVöD Bund, salary group 14. Application and information: We value
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geothermal energy systems. We develop and use AI-based applications with a focus on the development of analytical methods for the analysis of large data sets, feature extraction, automatic pattern recognition