233 software-engineering-model-driven-engineering-phd-position-"Multiple" Postdoctoral positions in Germany
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of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal
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TV-L, 100%) The position is limited for two years. The research group of Prof. Dr. Dr. h.c. Frank Schreiber at the University of Tübingen is working on the physics of molecular and biological materials
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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will develop into acute or chronic infection. Your expertise - PhD in life sciences, preferably (liver) immunology and/or viral hepatitis. - Experience in high-dimensional flow cytometry for phenotyping
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04.06.2025 Application deadline: 06.07.2025 The Hector Research Institute of Education Sciences and Psychology at the University of Tübingen invites applications for the following positions to be
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industrial partner and support the overall scientific goals of the project. YOUR PROFILE PhD degree in chemistry, materials science, energy materials, or a related field. Experience with lithium-ion batteries
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conferences in Germany and abroad (incl. presenting your research results) Preparation scientific publications and project reports Co-supervision and support of Master and PhD students Your Profile: Excellent
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23.04.2024, Wissenschaftliches Personal We are offering one postdoc position to a highly motivated researcher with a background in geography and urban ecology with experience in modeling, GIS and
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an attractive drug target. The position is funded by an Emmy Noether DFG grant and aims to combine single-molecule localization methods and cell biology to decipher the stoichiometry and dynamics of plexin
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing