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- Analytical Food Chemistry at Technical University of Munich
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technologies. One key focus of IOM is on fundamental physical and chemical processes using ions, electrons, plasmas and photons. We are part of the Leibniz Association, one of the four major non-university
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an advantage PhD Position 2 “Omics-based analysis of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 You will be responsible for: Conducting proteomic analyses of blood, plasma, and tissue samples
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processes such as plasma, hot-wall epitaxy or combustion methods to produce, for example, inorganic or graphene-based materials, composites or heterostructures that offer opportunities for application in
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, plasma, and tissue samples from melanoma and other cancer patients Developing bioanalytical assays for protein-based biomarker screening Developing and validating combined biomarker panels for cardio
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on the analysis and development of biomarker profiles for the personalized assessment of cardiovascular risks associated with cancer therapy. You will be responsible for: Analysis of longitudinal blood, plasma, and
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in one or more of the following thematics is considered an asset: plasma physics, hydrodynamics, inertial confinement fusion, laser physics, X-ray science) Familiarity with X-ray imaging techniques and
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motivated postdoctoral scientist to join our cutting-edge research project focusing on metallomics. This project utilizes Inductively Coupled Plasma Mass Spectrometry (ICP-MS) to explore the intricate world
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. The candidate will first optimise sample preparation and then use the plasma focused ion beam technique to investigate how ion beam irradiation parameters, such as ion beam current, affect defect formation
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phase of the project, electron-transparent specimens will be prepared for TEM examination using plasma focused ion beam milling (FIB), followed by structural, compositional and electronic characterisation
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-HEART Consortium: Method development to quantify very low-concentrated proteins in human blood plasma, e.g. using targeted LC-/MS/MS methods to detect interleukins Continuous development of existing