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liquid biomarkers for leukodystrophies by integrating multi-omics data from patient plasma and iPSC-derived human disease models. You will investigate disease-related molecular signatures using
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-efficient drone platform components integrated with multi-modal sensors and nanogenerators’. Why is the proposed project relevant? Diverse drone platforms (ground/aerial/marine robotic vehicles
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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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of molecular characterisation techniques and DNA/RNA, protein,or extracellular vesicle analysis. Experience in biological data analysis, bioinformatics, or omics data integration. Research stays at international
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) the inability to engineer ultrathin and flexible quantum sensors that could be easily transferred onto the samples to be probed or integrated into complex multifunctional devices. The objective of this research
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decisive importance for lifetime performance modelling. The key challenges are the robust integration of a sensor system in the structure and the analysis of measured signals, which are typically strongly
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 6 days ago
is funded for three years and located at Ruhr University Bochum (RUB). Students will participate in the integrated Graduate School Solvation Science (iGSS) including a three-month international
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Institution. Work plan: The selected candidate will support the RUGGED research team by contributing to the development, integration, and validation of perception and software components for robust robotic