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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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Bachelor’s degree (or higher) in bioinformatics, bioengineering, or related. Fluent in English, for both written and oral communication Experience in Python and/or R Experience with Linux/bash Previous
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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development using Python and/or other programming languages, as well as executing organic (multistep) reactions in the laboratory. We are looking for an applicant with: A Master's degree in chemistry, chemical
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related field. Strong experience with Python, R, or C++ programming and high-performance computing (GPU/parallel workflows). A research track record including publications, presentations, or collaborative
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dimensional information, classification and/or deep learning methods may also be developed. In addition, the complementarity between the different data sources used (particularly between aerial LiDAR data and
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physical and chemical properties of aerosol particles and clouds. Current research focuses on related but different areas of aerosol science and covers the whole size spectrum from the nano
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properties of aerosol particles and clouds. Current research focuses on related but different areas of aerosol science and covers the whole size spectrum from the nano- to the microscale. We are looking for a
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accessibility differences between study cohorts and support biological interpretation by our research team. Bioinformatics Tooling & Software Development: Refactor, extend, and package bioinformatic tools (e.g
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Python and SQL to generate insights. Communicate results through reports and dashboards (e.g., Power BI). Trial generative AI applications and contribute to reusable AI templates and frameworks