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the deadline. The project topic is flexible and will be developed jointly by the student and the supervisor, depending on the candidate’s background and research interests. Possible directions include 3D body
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AI systems for real-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping
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on developing strategies to control microtexture in both existing and newly designed titanium alloys. You will combine advanced 3D microstructure characterization using world-class facilities at The University
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
of Sciences in Poznań receives funding from the OPUS LAP 30 (2025/59/I/NZ2/02573) titled “Hypoxia-Driven Metastatic Potential in NSCLC: Multi-Modal Transcriptomic Profiling in 3D and Orthotopic Models” to fund
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of average climate measurements, which are then used to control the overall climate setpoints. Awareness of micro-climate insight and fine-grained, model-based control of locally applied ventilation is lacking
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differentiating these stem cells into organ specific cell types and 3D organoids together with CRISPR technology, you will study how genetic variants shape cellular responses to chemical exposure. Combined with
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of the subsurface architecture (i.e. hydrogeological schematizations) that encompass the 3D variability in geohydrological properties. These models are to be validated using real-world monitoring data (e.g. on sand
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of a locally calibrated fire spread model that accounts for land management and design scenarios (PhD 1) - the generation of near-real-time, high-resolution maps of fuel loads, fuel moisture
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photolithography, 3D printing and multiphoton lithography, together with innovative biomaterials. These models will be used to investigate, through advanced microscopy and quantitative image analysis, how
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven