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with the Research Coordinators and Project Managers to define analysis plans and ensure data quality for specific projects. Prepare analysis datasets, reports, and visualisations for both internal
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for measuring the biological material and/or the delivery mechanism; Management and analysis of experimental data; Take the lead on writing of research reports and communicating the scientific results
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science. Familiarity with ship data processing, ship performance analysis, machine learning algorithms (Deep learning, Reinforcement learning, etc.). Proficiency in written and spoken English - essential for data
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and optimizing growth media, ideally in combination with molecular methods such as 16S amplicon sequencing or draft genome sequence analysis, is highly desirable. Project title: Gut microbiome and
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the direction of the Principal Investigator, the Postdoctoral Associate will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the pathophysiology
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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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and confocal microscopy, high-content imaging, quantitative image analysis, SDS-PAGE and Western blot Testing of candidate compounds Contribution to single-nucleus RNA sequencing and transmission
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using liquid biopsy next generation sequencing data for cancer diagnostics. About You Must have a strong background in next generation sequencing data analysis/machine learning, cancer and/or genome
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, organising and analysing data, supporting thematic and narrative analysis of legal judgments and statutory reports, contributing to the development of an interdisciplinary analytical framework, and assisting
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integrative analyses, the team also seeks to decipher the biological mechanisms underlying relapse and therapeutic resistance. The researcher will actively contribute to data analysis, synthesis of results, and