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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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to conduct independent research at an early stage. The junior research group should focus on research and development of digital teaching scenarios (e.g. using AR, VR, AI, online videos, adaptive tools
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in written and spoken English Structured and independent working style Desirable: Experience or interest in bioinformatics Wir bieten Ihnen Goal-oriented, individual training and development
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 29 days ago
-depth analysis using existing or newly to-be-developed tools. Further there will be opportunities to carry out research within the PHANGS collaboration exploiting all available datasets from ALMA, HST
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integration implementation of machine learning in data analysis development and implementation of custom data analysis pipelines manage your own projects and work on various data analysis projects
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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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(m/f/d) Klinik und Poliklinik für Radiologie Scope of duties The Department of Radiology is at the forefront of developing cutting-edge interventional oncology techniques, bridging the gap between
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
developing scalable machine learning models for applications in materials science. Your tasks include contributing to the development of the Materials Learning Algorithmssoftware package and applying machine
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis
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Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum