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programming skills (advanced Python preferred). Willingness and ability to participate in international fieldwork multiple times per year, including field campaigns in Ethiopia lasting up to 2–3 weeks
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at the Panum Institute. Your Role As our new Data Scientist, you will play a central role in analyzing proteomics data generated across multiple projects. You will work closely with experimentalists in our team
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including CO2 and CH4 . Responsibilities and qualifications Responsibilities: Engineer multiple enzyme properties using experimental and computational methods Set up high-throughput screening methods and
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for academic as well as industrial knowledge within this field and competencies across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific
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Postdoc position to support international research and capacity-building projects employing elect...
. Participation in fieldwork campaigns in Ethiopia multiple times per year (typically 2–3 weeks per trip), assisting with survey planning, deployment, and data collection. Contribution to the development
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
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-based proteomics data (DDA/DIA) Familiarity with software frameworks such as DIA-NN, FragPipe, or comparable platforms Strong programming skills in Python and/or R, and solid understanding of statistical
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. At the system level, degradation reduces both energy and power throughput, while at the fundamental level it originates from multiple root causes within the electrodes. This position offers a unique opportunity
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Excel, Word and PowerPoint. Strong organizational skills and able to work on multiple concurrent activities. Python programming experience is a plus. EXPERIENCE REQUIRED Undergraduate degree or equivalent
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, computer science or related fields. Applications must have a strong mathematical background and strong ML/AI background; be able to efficiently implement models in computer code (using e.g. Python and Jax/pyTorch