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Field
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, and autism. The lab combines cutting-edge molecular and optical approaches, including in vivo CRISPR genome editing, 2-photon FLIM imaging, super-resolution imaging, proteomics, and computational
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outside academia. The tasks include extensive use of optical diagnostics, such as: Near and far field high-speed microscopic imaging Chemiluminescence-based techniques Schlieren imaging and shadowgraphy
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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team-working efforts with other researchers working on the project to deliver state‑of‑the‑art single‑photon imaging capabilities, and to disseminate results through publications, reports, and IP
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. Work collaboratively with multidisciplinary teams across materials, mechanical, and electrical engineering. Conduct laboratory experiments and support prototype development, contributing to system-level
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imaging at the single‑cell level. We welcome applications from recent PhD graduates interested in these or related areas, especially those with expertise in quantitative in-vivo and ex-vivo imaging
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collaboratively with researchers and engineers to develop prototype solutions and human-in-the-loop evaluation frameworks. Conduct user studies and analyse results (e.g. eye-tracking, physiological sensing
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the preparation of grant proposals. Required Qualifications PhD in Neuroscience, Biomedical Engineering, Psychology, or a closely related quantitative field. PhD must be awarded no more than four years prior
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and monitoring. Develop methods for multimodal sensing, semantic understanding, information extraction, and digital twin integration using images, written reports, related sensor data. Execute numerical
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PhD (awarded or near completion) in bioengineering, biomedical/electrical engineering, physics, biophysics or a related discipline. Hands-on experience of optical microscopy or advanced optical imaging