11 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions at Heidelberg University in Germany
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, operation and documentation of complex IT projects in the areas of IT infrastructure, servers, administration and data centers: User administration and rights management Network configuration and operation
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, implementation, operation and documentation of complex IT projects in the areas of IT infrastructure, servers, administration and data centers: User administration and rights management Network configuration and
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University, one of Europe’s leading biomedical institutions. This position focuses on unraveling the regulatory networks underlying dormancy and therapy resistance in acute myeloid leukemia (AML). Using
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Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
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in the Cluster of Excellence 3DMM2O (www.3dmm2o.de ). Involvement in existing or emerging research networks on campus is expected. The appointment requires a university degree, an outstanding doctorate
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the field. Participation in international scientific networks in genomics is expected. The future holder of the position is expected to competently and strategically strengthen the scientific orientation
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research in your discipline We offer: A stimulating interdisciplinary and international environment at Germany’s oldest university Collaborative networks of European and international scholars
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, opportunities for part-time employment Opportunities for further training and building a professional network by participation in national and international conferences A dedicated and supportive team Modern
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software