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. • Training in mathematics, providing a solid analytical background. • Excellent communication skills, both oral and written. • Proficiency in computer applications, including MS Office and imaging software
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-soil systems of young trees (f.e., by 13C PLFA SIP) and nanoscale-chemical imaging (such as NanoSIMS or Stimulated Raman spectroscopy) of the plant-fungal interface at the cellular scale. The candidate
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respect to the required combined high spatial, energy & momentum (q)-resolution for microscopic imaging, structural characterization and associated nanospectroscopic analysis at all energy scales
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of primary cells, design of cell-based assays using flow cytometry and imaging techniques. Knowledge in the design and execution of basic animal experiments, as well as the formulation of lipid-based
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cell-based assays using flow cytometry and imaging techniques. Knowledge in the design and execution of basic animal experiments, as well as the formulation of lipid-based nanoparticles is an advantage
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, optimization, calculus of variations, machine learning, magnetic resonance imaging (depending on the relevant subprojects ) Programming skills, e.g., in Python, Julia, or C/C++ (desirable) Excellent knowledge
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Chemistry as well as the opportunity to use large research facilities such as synchrotron light sources Innovative development work on new scientific instruments for X-ray imaging, combining hardware and data
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imaging, spatial genomics, epigenome and proteome analyses, complex bioanalytics and structural biology. There is also a substantial infrastructure for high-performance computing and excellent expertise
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, cellular communication, signal transduction and ageing research. The department has a very good research infrastructure, including flow cytometry, specialised microscopy and imaging, spatial genomics
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research infrastructure, including flow cytometry, specialised microscopy and imaging, spatial genomics, epigenome and proteome analyses, complex bioanalytics and structural biology. There is also a