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in analysis of single-cell and spatial data. Key Responsibilities Collaborate with PhD students, postdoctoral researchers and other technicians. Analyze and integrate single-cell and spatial data
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yourself with the scientific subject matter Coordinate and lead incubating start-up projects from start till incorporation including Analyse patent portfolio, do competitive analysis/landscaping, identify
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lipidomics). With mass spectrometry as its core technology, the MEC excels in the comprehensive analysis of biochemical reactions in living cells and organisms. Equipped with state-of-the-art mass
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design, optimization, and triage Conduct in-depth SAR analysis, combining experimental and in silico data towards the design of therapeutics Apply and supervise structure- and ligand-based design
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medical research. The core also provides bioinformatics tools for data analysis, integrating metabolomic findings with other omics data. Collaborative research and training are key offerings. This facility
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flow cytometry, particularly in the design and analysis of complex spectral flow cytometry panels. You will play a key role in both advancing in-house projects and supporting other researchers. Your main
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effectively with other members of the team. Should be proficient in written and spoken English. Desirable Requirements Experience in the analysis of single-cell RNA-Seq Experience in the analysis of multiomics
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to conduct both animal (mice) and cell cultureexperiments, assist in data collection and analysis (histology, molecular biology) as well as support laboratory management. You will collaborate with team members
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. Affinity with cell biology - cell analysis techniques (e.g. FACS or scRNA-seq) is highly preferred. Proactive attitude in supporting researchers in their scientific endeavors, coupled
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about