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diagnostics (theranostics), focused ultrasound (FUS), and molecular imaging (PET/SPECT). The PhD candidate will be responsible for conducting preclinical studies using animal models of glioblastoma, including
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments
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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results
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opportunity to work in a highly interdisciplinary and collaborative environment. The project involves close cooperation with other PhD candidates, postdoctoral fellows, and senior researchers, both locally and
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an obtained doctoral degree. The successful candidate will work in a team dedicated to developing and using new approaches and methodologies for seismic imaging and Full Waveform Inversion using Generative AI
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candidates, postdoctoral fellows, and senior researchers, both locally and internationally. Our collaborators include leading research groups in the UK, Denmark, and Spain – including the world-renowned High
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, they will take part in group activities with the core project team, consisting of the PI, a postdoctoral researcher, and the other PhD research fellow. In addition, PROBONO is supported by a research
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. The Department of Energy and Process Engineering (EPT) has established EPT Women in Science . The group is focused on supporting female Research Assistants, PhD Candidates, Postdoctoral Fellows and permanent
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addition to their PhD project, they will take part in group activities with the core project team, consisting of the PI, a postdoctoral researcher, and the other PhD research fellow. In addition, PROBONO is supported by
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. Second, technology has contributed to the creation of new forms of sexual harm, such as image-based abuse and deepfake technology. The implications of these developments are twofold. First, the use