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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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of models in existing simulation software conducting numerical studies, also on HPC systems Further specific tasks can be tailored to the attitude and interests of the PhD students/postdocs. Requirements
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Description The TRR404 “Next Generation Electronics With Active Devices in Three Dimensions [Active-3D]” is a Collaborative Research Center/Transregio between TUD Dresden University of Technology
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microscopy and automated image analysis Basic knowledge of toxicology (e.g. through DGPT training courses or relevant studies / professional experience) Experience in establishing test methods Conscientious
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microscopy Experience in cell sorting via FACS and experimental lung research would be advantageous Extraordinary level of autonomy, initiative, analytical thinking and ability to work in a team Excellent
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Microscopy (AFM), photoluminescence spectroscopy (PL) and other characterization techniques in our laboratory and synchrotron sources to reveal the details of formation of perovskite structure from
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator