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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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through the DAAD Portal in the period between 4 November and 4 December. Application documents Documents to be uploaded to the DAAD portal: Information Sheet Online application form Full curriculum vitae in
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protection information of TUM. Kontakt: fabian.frick@tum.de; maria.vrachioli@tum.de More Information http://pur.wzw.tum.de
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information of TUM. Kontakt: Dominik.bucher@tum.de More Information http://www.bucherlab.org
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in day-to-day tasks, including conducting research, acquiring and analyzing data, drafting manuscripts, and collaborating with interdisciplinary teams on various projects in the field of quantitative
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: advising them on experimental design, sample preparation and data interpretation You contribute to the continuous improvement of workflows, quality standards and documentation within the core facility You
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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sorting and data analysis Generation of single cell libraries with 10X Genomics, Singleron and BD Rhapsody platforms for ATAC, transcriptomics and multiomics assays Quality control of cells and nuclei (e.g