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Field
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS
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where it can be targeted. What you will do Build robust, reproducible scRNA-seq analysis workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics
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workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy
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of biology First practice in scientific writing and with molecular-genetic research methods Didactic skills / experience in e-learning Strong IT user skills, including MS Office and other programs e.g
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-haves: Completed Master's/Diploma degree in the field of biology First practice in scientific writing and with molecular-genetic research methods Didactic skills / experience in e-learning Strong IT user
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(Diploma degree programme or Master’s level) or an equivalent degree with a focus on cultural education and design based learning Demonstrated expertise in qualitative research methods as well as digital
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fossils from under-researched parts of the world, such as sites in East and South Africa. State-of-the-art biomolecular techniques, including palaeoproteomics, chronometric and isotopic methods, and to a
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languages would be beneficial. Willingness to use multimedia teaching methods: You are prepared to use multimedia learning and teaching formats. IT-skills: Good IT skills and ideally familiarity with new