42 programming-language-"FEMTO-ST"-"FEMTO-ST" positions at Heidelberg University in Germany
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-interaction-studies-poem ) and remunerated according to TV-L. Employment at Heidelberg University needs to follow the German Academic Fixed-Term Contract Act (WissZeitVG). Applications should be sent as a
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with its faculties of Medicine, Biosciences, and Engineering Sciences, the University Hospital Heidelberg (UKHD) and the University Hospital Mannheim (UMM), the German Cancer Research Center (DKFZ), the
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, Biosciences, and Engineering Sciences, the University Hospital Heidelberg (UKHD) and the University Hospital Mannheim (UMM), the German Cancer Research Center (DKFZ), the European Molecular Biology Laboratory
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Biology, Developmental Biology, Genetics or Molecular Biology Experience with cell culture and wet lab techniques, including DNA/RNA/protein analyses Good command of the English language Strong teamwork
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english (written and spoken) are expected We offer Goal-oriented, individual training and development opportunities Working with the latest techniques / technical equipment Possibility of doctorate
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to the German TV-L system (the salary agreement for public service employees). As an equal opportunity employer, the HUK is committed to increase the percentage of female scientists and, therefore, especially
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, academic, and industry partners to advance functional precision medicine in Acute Myeloid Leukemia (AML). Funded through the MWK BEGIN program, our group plays a central role in building the computational
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example, the Collaborative Research Centre "Heimat(en)", and the Master’s degree programs Populärkulturen and Études transculturelles) Remuneration is based on TV-L. We look forward to receiving your
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Strong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing data Solid understanding of RNA biology, transcriptomics and epitranscriptomics Desirable skills: Experience
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, Computational Biology, Systems Biology, or a related field Strong programming skills in R and/or Python Experience with single-cell or multi-omics data analysis Interest in cancer biology, particularly leukemia