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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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-kenntnisse (z. B. Python, JavaScript/Angular/Electron, C++ oder vergleichbar) Erfahrung in der Entwicklung von virtuellen Umgebungen und Nutzung von VR/MR/AR Kenntnisse im Bereich Künstlicher Intelligenz
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of microcontrollers possible) Tracer experiments in the stream In-depth data analysis using R, Python or Matlab Presentation and publication of scientific results About You: Essential Qualifications: An MSc degree in
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tumor cells, cell-free DNA, extracellular vesicles) Familiarity with single-cell omics methods (scRNA-seq, proteomics) Basic bioinformatics skills (R, Python, or similar) Experience working with patient
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time