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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Nanomicrosystems is looking for a PhD Student (f/m/d). The position is announced in frames of Research Training Group "Supracolloidal Structures: From Materials to Optical and Electronic Components" (GRK 2767
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of the molecular species of the radionuclide in cellular compartments/cells using spectroscopic techniques (e.g., UV-Vis, Raman, X-ray absorption spectroscopy) and microscopic methods (e.g., electron microscopy
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to work independently or in a team Preference will be given to candidates with evident experience in the listed fields What we offer Training in cryo-electron microscopy and interfacing techniques
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scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), X-ray diffraction (XRD), and nanoindentation, for generating their own data sets Your Profile: A completed university degree
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strong core facilities that offer state-of-the-art equipment and training in protein production, microscopy, proteomics, cytometry, genomics and bioinformatics. Activities and responsibilities
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strong core facilities that offer state-of-the-art equipment and training in protein production, microscopy, proteomics, cytometry, genomics and bioinformatics. Activities and responsibilities R-loops
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with excellent English proficiency to explore this fascinating intersection of experimental physics, machine learning, and complex systems. A background in optical microscopy and machine learning is of
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, fluorescence microscopy, behavioral experiments, or a solid background in neurobiology is advantageous but not essential, we offer comprehensive support, training, and learning opportunities to acquire all
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properties of individual molecules doped into state-of-the-art materials used in OLEDs. The project will apply single-molecule microscopy and spectroscopy techniques to obtain information about the degree