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spectrometry or alternatively structural biology. Knowledge in data analysis and statistics. Strong ability to communicate effectively in English, both orally and in writing. Documented experience in scientific
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analysis, image processing, and statistics Excellent command of English, both written and spoken Ability to work both independently and in a clinical research environment Meritorious are: Experience with
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cytometry, immunostaining and imaging, statistical methods like Design of Experiment Scientific skills to plan and analyze experiments Skills to function well in collaborative projects both within the group
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analysis, and greenhouse experiments. Analyse ecological and evolutionary data using appropriate statistical methods Collaborate with an interdisciplinary research team and contribute to group discussions
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and the ability to develop and conduct high-quality research relevant to the position. The applicant must demonstrate knowledge of statistical methods, documented experience of ethnographic fieldwork
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Python for scripting and data analysis, metabolite ID via MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score
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MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score, volcano, heatmap, and correlation plots, either software
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Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine learning, and control is essential
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have one or more supervisors for support during your doctoral studies. However, you work independently to a great amount, e.g. by running statistical analyses and writing articles for journals. A half
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dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types