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Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research | Karlsruhe, Baden W rttemberg | Germany | 3 months ago
transferability. Workflow integration for seismic monitoring and subsurface imaging: Integrate the developed processing and machine learning pipeline into the RUBADO analysis framework for near real-time or batch
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of the Free University Berlin and other research institutions. The Digital Humanities team seeks to appoint a Student Assistant (m/f/d) with a focus on Machine Learning or Data Science, up to 19 hours per week
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looking for a PhD candidate to work on research at the intersection of machine learning, data privacy, and medical imaging. The position is part of a three-year research project that investigates how
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-cell imaging, multi-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning
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-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning-assisted image analysis
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Technologies are focusing on the design and evaluation of innovative data-driven and Machine Learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient
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pharmacological and optogenetic perturbations, as well as quantitative image analysis and data-driven evaluation of large image datasets evaluation of experimental data with tailor-made computer programs writing
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systems in a targeted manner. Learn more about us at www.biosystem.design An integral part of BioSysteM is the AI Core Unit, a cross-institutional support unit. This unit aims to make machine learning (ML
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put emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight