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-cell sequencing) Prior experience working with spatial biology approaches, and early-adoption of cutting-edge technologies Prior experience working with Linux and high performance clusters (HPC) R/Python
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an excellent record of innovative research and academic performance as well as high potential for establishing a rigorous and independent research program. International research exposure is a plus
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of the national genome centres and cutting-edge High Performance Computing resources. The city of Dresden provides numerous chances for scientific exchange and collaboration. TUD strives to employ more women in
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genomics. be proficient in bash scripting and R and experience with cloud computing (required). be proficient with Python and Git (preferred). perform bioinformatical and statistical analysis of multi-tier
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programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing domains. We seek a highly motivated
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the combination of evolutionary genomics with experimental work. Preferred access to high-performance computing and the sequencing centre at Kiel University (https://ccga.uni-kiel.de ) is provided. Attention is
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qualified women to apply for the position. Your tasks #designing, planning and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques #developing computational codes
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-performance computing infrastructure of the Max Planck Society, and, if desired, MPIP’s wet-lab infrastructure will be provided. Successful candidates will develop an independent research program in
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its subsidiaries are one of the largest employers in the region. Our clinics and institutes stand for high-quality patient care, excellent research, modern teaching and transfer of innovative technology
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differentiation protocols for iPSC perform CRISPR-based genome editing and molecular biology experiments develop and optimize high-throughput sequencing techniques work with a substantial amount of multi-Omics data