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methods Supervising a small team of PhD and MSc students Developing new foundations of augmentations for digital pathology Potentially developing multi-scale AI models for cancer patient stratification
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a multi-metal lidar and doing regular quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software
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high-impact journals and present at international conferences Provide workshops and training for the research team in new analytic approaches Your ProfileApplicants must hold a PhD degree in quantitative
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standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD
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. The appointee will help to develop in-depth understanding of cognitive processes in the context of legitimacy and translate it into concepts that can be operationalised in empirical, especially experimental
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deploy integrated methodologies at the cross-section of battery and quantum technologies. Quantum computing bears tremendous potential in the simulation of interactions and reactive processes in materials
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Models (LLMs) to create the methodological foundation for next-generation AI systems that clinicians can truly understand and trust. All components will be released as open-source software and reusable
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
perspectives. We invite applications for a Postdoctoral position (f/m/d) to work on the development of scientific software, advanced statistical methods, and physics analysis within the framework of the DEMOS
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 2 months ago
, involving software developers, language experts and language service providers. Your tasks will be: Managing the project from a content point of view, in close collaboration with a GESIS internal software
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing