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progression. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim
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, PhD students, a lab technician and a research officer to join the international lab of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 hours ago
present your findings at internal meetings and international conferences, contribute to publications, and support a positive and collegial team culture. Essential qualifications Doctoral degree (PhD) in
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perturbations), pharmacological interventions (senolytics and senomorphics), and organoid systems with functional assays, flow cytometry, advanced imaging, and high-dimensional approaches, including single-cell
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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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processes are affected in the diseased brain by combining cutting-edge techniques such as in vivo and ex vivo electrophysiology recordings, live-imaging of calcium indicators and neurotransmitter sensors
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documents involving both text and images for the FED-tWIN programme - Prf-2022-025 - ARKEY #AI #NLP #ComputerVision #HTR #MetadataExtraction #UX #InfoVis Context FED-tWIN is a research program of the Belgian
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
biomedical imaging applications Your profile Master’s degree or PhD in Physics, Optical Engineering, Photonics, Quantum Engineering, Biomedical Engineering, or a closely related field, with a focus on quantum
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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and tracking in LEO constellations, and monostatic and bistatic SAR imaging using communication waveforms Design and evaluate self-interference cancellation (analog/digital) and synchronization