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Field
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analysis, data organization and quality control, software testing, visualization of research data, scientific documentation, and general laboratory research support while working collaboratively with a
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical neuromodulation experiments, including open-loop and closed-loop stimulation paradigms, to test
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enables the visualization and analysis of data collected from Panel 8 of the Benguerir mine. Main Responsibilities The successful candidate will be responsible for: • Designing and conducting research
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating within an interdisciplinary team, including potential teaching or
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deadlines and work collaboratively in an interdisciplinary laboratory setting. Desired Qualifications: Experience with next-generation sequencing (NGS) data, microbiome composition analysis, or within-host
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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: Molecular modelling and simulation experience during PhD Ability to present complex information effectively to a range of audiences Experience of manipulating and visualizing large datasets We value