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the preparation of scientific manuscripts and competitive research proposals through data analysis, scientific writing and presentation of results. LanguagesENGLISHLevelGood Additional Information Work Location(s
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-spectrometry-based proteomic and metabolomic workflows, quality control, quantitative data processing, statistical analysis and integration of proteomic and metabolomic datasets. You will also contribute to data
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for a passionate and dynamic researcher with strong expertise in pharmacology, cell signaling and structure biology to advance our research in the above areas. Ideal candidates should have a PhD in
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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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physically consistent data analysis strategies for surface X-ray scattering data, as well as sample cells specific to the beamline. The ID10 surface scattering station is dedicated to studies of hard and soft
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operating procedures and data-analysis pipelines for SDC workflows. Quantify SEI/CEI formation and evolution using CV, GCD, EIS, GITT, and dQ/dV analysis. Contribute to operando and in situ characterization
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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, presence of organic load). 5. Data analysis and reporting Analyze chemical, physical, and biological data using statistical methods and appropriate software. Generate clear, well-structured reports
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. QUALIFICATIONS • PhD in Biological Sciences, Chemical Engineering, or related fields • Strong background in microbiology and quantitative analysis SKILLS • Microbial cultivation and bioreactor operation • Ability
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preparation protocols for NGS and Oxford Nanopore sequencing, organising, recording and overseeing the handling of biological samples, performing preliminary analysis and interpretation of sequencing data