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programming skills (e.g., Python, R, C/C++) and experience with high-throughput sequencing data. Solid understanding of RNA biology, transcriptomics, and epitranscriptomics. Desirable Skills Experience with
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well as broad experience with scripting languages (e.g. Python, R, Bash); knowledge of common bioinformatics software and access to databases are essential Basic understanding of biology Proficient in English
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with (scientific) programming (Python, R or other languages) Comfortable with mathematics and analytical systems thinking Curiosity and willingness to expand their knowledge in related disciplines Very
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-mentioned topic International research experience: a continuous research stay abroad of at least one year is desired Experience in acquiring and leading R+D projects and in supervising junior research
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Familiar with R, Python or other coding languages Experience with HPC clusters and Job Schedulers (e.g. SLURM) Interdisciplinary communication skills and intercultural competence Knowledge and experience 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
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management of research and industrial projects Acquisition of publicly funded research projects and industrial development projects Presentation of R&D activities at conferences, on committees and with project
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
vocational training previous experience in a comparable position strong MS Office skills, especially Excel experience with SAP R/3 (FI and CO) or other comparable accounting systems strong analytical approach
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instruments at FRM II. You will actively participate in R&D programs aimed at exploring novel detector concepts for neutron scattering applications, conducted within an international framework. You will enhance
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) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge of European marine ecosystems as