212 parallel-processing-bioinformatics-"Multiple" positions at Technical University of Munich in Germany
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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under civil law in Freising, is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high
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disciplines. • Previous experience in microbiology/bioinformatics/bacterial genetics would be desirable. • Knowledge of a scripting language and R is a plus. • Excellent English communication skills (written
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external collaboration partners • Publishing scientific results in (high impact) journals with a peer-reviewed process Requirements: The ideal candidate holds a PhD in Bioinformatics / Computational Systems
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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will contribute to the operation and maintenance of the scientific infrastructure of the group. Requirements: PhD in mass spectrometry-based proteomics and a compelling publication record. Extensive
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transplantation and inflammatory diseases. We have scRNAseq data sets from 10x Genomics available and need you for data analysis using already implemented bioinformatic pipelines. This project is part of our ERC
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sense of touch with low-magnitude normal and shear forces as well as sensing of multiple contact points. Additionally, the end effectors need to be modular to handle different surgical tools. Furthermore
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11.04.2025, Wissenschaftliches Personal The Technical University of Munich (TUM) is seeking outstanding candidates for multiple scientific staff positions to join the Professorship of Urban and
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detection, segmentation, and quantification of diseases such as cancer, the generation of novel representations of pathology data for further processing, or the discovery of virtual biomarkers for patients