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Field
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). This exciting translational role sits at the intersection of innovative stem cell engineering and disease modelling, targeting genetic, metabolic, and immune-driven pathologies. You will utilise proven kidney
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researchers specialising in materials science, photocatalysis, modelling, optical engineering, reactor development, sustainability assessment and industrial innovation. This international network will give you
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approaches, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at
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research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven epidemic forecasting, transmission modelling in the ASEAN region
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will systematically model and validate Magnus- and drag-induced trajectory variations within a bespoke, single-player physics sandbox in Unreal Engine 5. Evaluating player perception: we will empirically
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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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seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have
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, we create knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep
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engineering, physics, materials science or a related area. Experience with modeling, experiments and design. Team players with good communication skills. Creative, independent and self-motivated. with
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biology or a quantitative discipline, such as physics, engineering or applied mathematics, with expertise in programming and an interest in developing AI-driven computational tools for biological data