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Platform as a substitute for maternity leave / parental leave. We are looking for a single cell and genomics specialist (m/f/d) with a proven track record in the use and maintenance of flow cytometer/cell
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cell and genomics specialist with a proven track record in the use and maintenance of flow cytometer/cell sorter instruments who is interested in working at the genomics facility. The successful
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imaging methodologies. In this project, novel techniques are being developed for tracking radio-labelled cells, either as cell populations or even individual cells. This is being achieved by combining whole
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(mzQC) and high-throughput analysis (identification, relative & absolute quantification) for lipidomics Implementation of provenance tracking within the workflow to enable reproducible data analysis
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Ulm, Baden W rttemberg | Germany | 15 days ago
in vitro Development of user-friendly tools for data analysis and tracking of experiments Prepare and write manuscripts for publication in international scientific journals Oral presentation of results
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are looking for a single cell and genomics specialist with a proven track record in the use and maintenance of flow cytometer/cell sorter instruments who is interested in working at the genomics facility
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. Students can enter with a Bachelor’s (fast track) or a Master’s degree. Application deadline The application opens in September and the deadline is 1 December every year. Tuition fees per semester in EUR
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from any nationality and hold, or expect to hold, a Master’s degree in a related subject. You have a proved track record of academic and research excellence and are fluent in written and spoken English
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preferred. Prior experience in genome engineering or mass spectrometry is advantageous but not required. Strong writing skills with a proven track record of successful research are essential. Excellent
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strong interest in research. A proven track record of scientific work, such as prior publications, is beneficial. We particularly value a solid theoretical foundation in 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴