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Field
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science is required. Research experiences in ultrafast science is preferred, such as in applying time-resolved microscopy / spectroscopy, scattering technique for quantum material research using advanced
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of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3) computer
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-microscopy and light-matter interaction at the nanoscale. Within the Department of Physical Chemistry, the Lattice Dynamics group, is currently looking to hire a PostDoc (m/f/d) to work on Resonant Infrared
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synthesis, biomolecule generation and characterization, protein expression and purification, cell culture, microscopy, biophysics, cytometry would be an advantage. This post is fixed-term for 6 months, funded
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-resolution, confocal and electron microscopy), genomics, proteomics, metabolomics, high-performance computing and field research. We promote research at the interface with other disciplines. The Dept
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biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems. Highly motivated
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DPhil/PhD students and undergraduate project students. Prior experience and expertise in transmission electron microscopy is desirable. How to apply You will be required to upload your CV and a supporting
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, confocal microscopy) and molecular level (RNA-seq, spatial technologies) B2. Knowledge of gene manipulation techniques such as CRISPR and metabolic experimental techniques such as Seahorse, SCENITH
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, chormatographies, XRDXPS, electron microscopy, and others (link ). Collaborative environment across Nanotechnology Centre, CEET , and CATRIN , with opportunities for international collaboration. Social Insurance
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protocols to our Workflow Performing microscopy experiments on sperm dynamics under various controlled environmental conditions Merging experimental results, simulations, and literature for optimal conditions