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Position Description Mathematical Statistics provides the foundation for the rigorous description, analysis, and interpretation of random and complex data and processes. The field plays a key role
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. Design and implement novel approaches for operating room and surgical procedure understanding, including scene graphs, graph-based models, and other structured representations. Develop machine learning
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then implement a suitable interface to the FE model through which magnetic forces can be taken into account. Building on this, you will conduct a harmonic response analysis. Does that sound like a lot
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are used, among other things, to monitor industrial production processes, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio
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Leibniz-Forschungsinstitut für Molekulare Pharmaokologie (FMP) | Berlin, Berlin | Germany | about 2 months ago
facilities and other institutions in Berlin and Brandenburg 4) Willingness to actively participate in shaping the degree programs offered at Charité, ensuring sound postgraduate education and training, and
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are used, among other things, to monitor industrial production processes, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio
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of biological topics relevant to BioSysteM (e.g., molecular biology, microbiology, cell biology) · Experience in applied data science, ML, and AI · Sound knowledge of scientific software development · Experience
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
to understand systemic metabolic and hormonal processes as well as the biological and pathophysiological effects of exogenous chemical compounds. The PhD project "Imaging Mass Spectrometry: Spatial Metabolomics
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Change, and Political Behaviour These thematic research agendas are linked by a sound methodological base in the empirical social sciences, a shared interest in the interaction between institutions
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physics-informed machine learning in power systems Set up benchmark grids and generate or process suitable simulation data for power-flow, voltage-prediction, or state-estimation tasks Implement and compare