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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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writing and presentations at conferences and workshops. Qualifications: PhD in Biomedical Engineering, Medical Robotics, Computer Science or a closely related field Strong background in medical image
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imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students and a technical
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biology techniques include molecular cloning, gene transfection and expression, siRNA technology, qPCR, FACS analysis, confocal imaging, histology, immunohistochemistry, immunofluorescence, ELISA, Western
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sheath). Candidates with strengths in theoretical modeling, asymptotic analysis, or numerical simulations are also encouraged to apply. Required Minimum Qualifications: PhD in Mechanical Engineering
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imaging Analyze complex datasets (kinetics, FRET traces, colocalization) Initiate and drive new subprojects Mentor PhD students and collaborate closely within the group and with partners abroad Present
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
Developing new fabrication processes for CaF₂, sapphire, and BK glass Collaborating closely with industry partners in areas including lasers, imaging cameras, and display technologies Preparing and supporting
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, particularly women from ethnic minority groups. Results will be used to develop and test a prototype training module. Based at our Charterhouse Square/Whitechapel campuses, this three-year project will involve
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computational efforts that connect tissue-level biology to therapeutic translation. About the Lab The Couturier Lab integrates single-cell, spatial, and imaging-based omics to deconstruct brain tumour behaviours
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passionate Postdoc (exceptional PhD candidates may also apply) to join our team and develop the next generation of intraoperative neurosurgical image guidance. Currently, neurosurgeons lack real-time