44 web-programmer-developer-"LIST" "https:" "https:" "https:" PhD positions at Leibniz
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The Innovative Electron Microscopy Department develops and applies electron microscopy methodologies for nanoscale and atomic-resolution characterization of soft functional materials and their
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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. International young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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will be given the opportunity to develop a doctoral thesis with extensive support through the CBBS graduate program (https://cbbsgp.med.ovgu.de ). Your profile: MSc in Neuroscience, Biology, Biomedical
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Landscape Research) campus in Müncheberg, near Berlin, and is integrated into regional, national, and international (biodiversity) research networks. Your Tasks Develop and apply methods to extract
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basic over applied research up to pre-industrial development and is performed in collaboration with national and international partners from university, academy and industry. The institute is part of
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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and applications in epidemiology. Responsibilities: Develop new statistical methods for secondary data analysis and apply them to GePaRD data Develop and prepare statistical analysis plans for target
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and odor perception and food-derived proteins. The project aims to make use of the structural information for structure-based ligand design projects in order to develop prediction methods to identify