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, integrating with Galaxy as well as solutions for secure and trusted exchange of encryption keys. This development is part of a collaboration in the ELIXIR context, which also in-cludes core European data
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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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quality of life by enabling patient-centered cancer treatment. The NOVO (Next-generation imaging for real-time dose verification enabling adaptive proton therapy) project aims to integrate real-time dose
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questions related to the molecular regulation of autophagosome formation, using cell biological, genetic, and imaging-based approaches. The candidate will explore the function and regulation of proteins
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diffraction tomography (ODT). The ODT will be used for imaging organoids and a correlative fluorescence microscopy must be integrated with the ODT. A close cooperation with COMBAT partners associated with WP 2
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cancer cell imaging including digital holographic live imaging of cancer cells to assess cell motility. Experience with mass spectrometry of protein modifications is demanded (including sample preparation
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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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measurements, biogeochemical rate modelling, high resolution 3D-imaging, isotope labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced
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understanding through an interdisciplinary approach combining micro-fluidics, with genomics, atomic-scale mineral dissolution measurements, biogeochemical rate modelling, high resolution 3D-imaging, isotope
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sequencing-based methods for immunological characterization. Fluent oral and written communication skills in English. Preferred selection criteria A strong background in imaging techniques and proteomics