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completed master’s degree (or an equivalent) in: Chemistry Organic Chemistry Chemical Biology Analytical Chemistry Computational Biology/Chemistry/Bioinformatics Physics Biochemistry Biology/Molecular Biology
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in humans via in vivo, ex vivo and in vitro models. Develop and coordinate novel transcriptomics and flow cytometric experiments in the context of clinical trials with the linked bioinformatic analysis
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or experimental population genetics, bioinformatics, mathematics, statistics. Topics include: --The role of deleterious mutations for adaptation and maintenance of variation. --Long-term adaptation of local
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for complex bioinformatic analyses. A modern central animal facility is available for immunological, tumour-biological and physiological basic research and preclinical studies. The professorship will expand
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substantial infrastructure for high-performance computing and excellent expertise for complex bioinformatic analyses. A modern central animal facility is available for immunological, tumour-biological and
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substantial infrastructure for high-performance computing and excellent expertise for complex bioinformatic analyses. A modern central animal facility is available for immunological, tumour-biological and
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for bioinformatics. A focus will be the development of innovative algorithms for high-throughput identification of molecules, data analysis, and integration. Therefore, the candidate should have profound knowledge
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 3 months ago
focus on technology development, contribution to study design and bioinformatic data analysis, as well as training and teaching best practices in sequencing technology and genomic medicine. Furthermore
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Requirements Research FieldPharmacological sciencesEducation LevelPhD or equivalent Skills/Qualifications Completed doctorate/PhD in the area Bioinformatics or Life Sciences Strong interest in genomics, gene
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and neural stem cells and their differentiation into neural 2D and 3D models Intensive experience with bioinformatic transcriptome analyses, ideally also with single cell RNA sequencing or epigenetic