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optical and chemical tools with classical genetic techniques and advanced image analysis to study cytoskeletal force dynamics quantitatively. A key focus is understanding how microtubules contribute
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dysfunction Data collection, analysis, and interpretation using cutting-edge imaging and computational tools Presenting research findings at conferences, lab meetings, and through publications in high-impact
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Studying lipid alterations of tumorous material by mass spectrometry imaging Quantification of corresponding lipids using liquid chromatography mass spectrometry Data analysis of sequencing and microscopy
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elucidate the molecular makeup and phenotypes of these tumors. The advertised project focuses on a comprehensive analysis of the mechanisms by which bacterial species and their metabolites impact on mutation
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: Structural basis of two-component system signaling Supervisors: Prof. Dr. Ute Hellmich , Prof. Dr. Sarah O’Connor Project 4: Sensing the unseen: How diatoms detect and respond to highly dilute sex-inducing
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-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization. The project: Voluntary motion in
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the mechanisms of immune cell activation and recruitment in various in vitro and in vivo models of inflammation and infections. In detail, this project addresses the functional analysis of PSTPIP1, a protein that
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transcriptomics and genomics approaches, single cell sequencing, histocytometry) Set up bioinformatics platforms and develop computational pipelines for the analysis of bulk and single cell RNA-sequencing, DNA
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electrophysiological experiments, microsurgery, immunohistochemical staining procedures and / or confocal or STED imaging. Knowledge of image analysis as well as technical and programming skills (ideally in Matlab
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% of the full-time weekly hours Tasks: Advancing relativistic ab initio methods for predicting structural and spectroscopic properties of heavy-element nanocrystals Requirements: excellent