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competitive analysis, market landscape overview, and positioning for subsequent fundraising and go-to-market activities. • Lead the acquisition of future funding in close collaboration with the fundraising team
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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The Biomedical Image Analysis Group, led by Prof Ben Glocker, in the Department of Computing at Imperial College London is seeking a talented Research Assistant / Associate to take a key role in an
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include simulation and control implementation, data analysis, and knowledge dissemination through technical documentation and stakeholder workshops. This is a full-time, fixed-term role starting 1 September
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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, Orbitrap mass spectrometers of various designs, and vacuum apparatus for sample purification and experimental studies. Develop new analytical technologies and methods for isotope ratio analysis and provide
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analysis. You will compare the patient characteristics and approaches for the two surgeries to identify any difference between them and complete sub-analysis to evaluate failure risks. During the project
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tracking immune cells in cell culture and murine models of inflammation and cancer Conducting histological analysis for validation and correlation of imaging results Analyzing imaging data and contributing
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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datasets, and geospatial analysis outputs of the project. Technical support from the RUG Geodienst is available. Contributing to the development of theoretical frameworks within the project, potentially