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Field
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. About the research project The project addresses skin cancers and chronic inflammatory/fibrotic skin diseases using the cutting-edge spatial proteomics platform. You will integrate 3D and multiplexed
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biochemistry. Expertise in e.g. CRISPR-mediated gene editing, protein structure prediction, mass spectrometry-based proteomics, or fluorescence microscopy. Expertise and interest in functional analysis
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. size-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic
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/conditioning, 2D/3D models, implantation into the chorioallantoic membrane (CAM) model, and phenotypic/molecular analyses to study tumor heterogeneity, EMT-related traits, and drug response. The successful
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; Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device Engineering to create next-generation technologies that translate discovery into clinical impact. EIT Oxford fosters a culture of
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-cell transcriptomic, and spatial transcriptomic analysis for brain metastasis research. Utilizing hESC/iPSC derived human cerebral organoid for in vitro 3D models to examine the microenvironment of brain
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stereolithographic 3D printing techniques and characterization of carbon materials, namely by thermogravimetry, SEM, TEM, Raman, elemental analysis, among other relevant techniques; 4) Possess experience in
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analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational
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laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and report/manuscript
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or equivalent Skills/Qualifications Communication, Organisational skills, Research skills, Crispr Cas9 to E. coli, Python, R, Java, C, C++, Statistical analysis, Experience in Biosensors, Experience in 3D