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isolation and immune profiling through Spectral/Flow Cytometry and/or RNAseq. You will be responsible for all data analysis. You will report to the Head of Department of Biomedicine. Your
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data collection, data analysis, writing scientific articles, and knowledge dissemination. Be able to translate methodological specifics to non-computational researchers Contribute both academically and
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with instructors and students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long
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primarily contribute to measurements in the optical laboratories and the associated data analysis and interpretation of the results. Depending on interest and experience, you may also contribute to design
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surface dynamics Develop and apply Python-based image/data analysis tools for large time-resolved TEM datasets Establish quantitative links between 3D atomic structure, dynamics and catalytic functions of
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structured, well-documented way that supports benchmarking, reproducibility, and reuse by others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent
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(especially genome-resolved metagenomics) analysis is desirable. Experience in data analysis is advantageous. The applicant must be willing to travel for a 2-3 month research stay to learn new skills
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embodied experiences such as craving, loss of control, withdrawal, and recovery processes. Contributing to recruitment of participants in alcohol treatment. Participating in data analysis (coding and
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organisms for integration into porous mineral interfaces. The work will combine formulation, cultivation, sensors, automated monitoring and data analysis to evaluate hygrothermal behaviour
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