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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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of methodologies for operando synchrotron- and lab-based XAS and complementary techniques that provide information about the transformations of the electrocatalyst structure and composition on different time scales
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Payments made by the DAAD: Monthly scholarship payments of 700 euros Health insurance Two-month language course in China (if necessary) Two-day pre-departure training Monthly research allowance
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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and control system for real-time control and operation at autonomy level 3 as defined by the International Maritime Organization (IMO 1). The control system to be developed will almost completely avoid
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pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as
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of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T cell regulation in health and disease. We
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Application Papers Application forms and further information on the application procedure are available here . Application Deadline Applications are welcome at any time, but must be submitted at the latest 6
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, Li-solid state oxide conductors have almost been neglected as electrolytes to replace classic oxygen conductors in sensors. Your primary tasks include: • Employ different processing methods (including
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Germany Web: https://www.mpinat.mpg.de/grubmueller Social Media: https://bsky.app/profile/compbiophys.bsky.social www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing