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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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for Space Communications Research . The person hired will work within research on: Quantum information theory, Quantum compressive sensing, Quantum error-correcting codes, Quantum computing, and/or Post
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quantum technology, and it may also be associated with the new Center for Space Communications Research . The person hired will work within research on: Quantum information theory, Quantum compressive
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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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). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g. Cantera or CHEMKIN. Background in compressible flows and applied
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. Cantera or CHEMKIN. Background in compressible flows and applied aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD
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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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or in English. If the total size of the attachments exceeds 30 MB, they must be compressed before upload. Please note that information on applicants may be published even if the applicant has requested