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and international research unit on “Sustainable Rurbanity” (FOR5903) and fixed-term for 4 years (salary scale 13 TV-L, 65%). Required Documents Required Documents Motivation letter CV Language
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and international research unit on “Sustainable Rurbanity” (FOR5903) and fixed-term for 4 years (salary scale 13 TV-L, 65%). Required Documents Required Documents Motivation letter CV Language
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
Your Job: The field of structural DNA nanotechnology holds a great promise for the realization of all-DNA building blocks with arbitrary complexity and shape at the sub-nanometer scale
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with five partners. The focus of the doctoral program is the analysis of the spatial and temporal variability of decontamination efficiency in different soil materials on a flow cell scale. The results
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politicians and patients/ elderly members of the community) who are currently involved in a large-scale attempt to develop and test new digital care technologies in the region. These technologies (including
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on the German TV-L E13 scale, 65% or on an equivalently remunerated PhD support contract of the Max Planck Society Dedicated supervision with academic guidance from thesis advisory committees Comprehensive PhD
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” the temporal formation of radiation damage will be investigated. Radiation may induce elementary lesions like double strand breaks to the DNA in cell nuclei, which may interact within a certain time scale
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arbitrary complexity and shape at the sub-nanometer scale. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the
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project “Plastic growth behaviour of patients’ AML in vivo: Releasing dormant cells from their protective niche.” We are an interdisciplinary and collaborative research team at the forefront of multi-omics
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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property