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, electrical polarisation and, then evaluate cell-matrix interactions using live-cell imaging, molecular assays and, spatial transcriptomic approaches to identify key mechanisms linking matrix mechanics
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molecular data using advanced computational and statistical approaches to identify early biomarkers of neurodegeneration. Qualifications: PhD in Biomedical Engineering, Neuroscience, Neuroimaging, Physics
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prior work on wastewater samples or water analysis, experience in plant culture and growth, synthesis of quantitative and qualitative data, scholarly review and compiling datasets; statistical and spatial
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to completion) in a biomedical, bioinformatic or relevant subject. You must have a strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong
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strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong interest in the research topic including renal pathology and to hold experience
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secured funding support for ~2 years. The goal of this project is to design and develop spatially explicit decision support tools and assist with updating an Implementation Plan to identify and prioritize
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systems capable of spatially organizing molecular catalysts, photosensitizers and electron-transfer components to mimic the organization of natural photosynthetic membranes. The project combines
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interactions and for forming charge-transfer excited states with spatially separated frontier orbitals. The project will combine organic synthesis, COF materials chemistry, structural characterization
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» Statistics Medical sciences » Other Researcher Profile Recognised Researcher (R2) Application Deadline 30 Sep 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job
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Fellow position is to drive statistical methodology and applied research for an R01-funded project focused on digital biomarker discovery. Under the direct mentorship of Dr. Ghosal and co-PI Dr. Cui