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(admission-completion) in the master's study program must be specified. A complete list of publications (if relevant). For applicants to the PhD fellowship: a copy of the master thesis. For applicants
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workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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Knowledge of qualitative, participatory, and creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated ability to work
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the following documents to Rui Tang, PhD, Assistant Professor at ruit@wustl.edu . Cover letter expressing your interest and highlighting your relevant experience. Curriculum Vitae (CV) with a list of
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis
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to Apply Please submit the following (PDF format): Cover Letter (1–2 pages) outlining your fit for data-driven decarbonization of mining fleets. Curriculum Vitae, with a list of publications. References
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
development. Proficiency in biodiversity monitoring tools and plant growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience
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experience in human cell culture, molecular biology, advanced microscopy and bioimage analysis Logical and consistent record keeping and data analysis skills Highly motivated with interest in subject area and
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experience in human cell culture, molecular biology, advanced microscopy and bioimage analysis Logical and consistent record keeping and data analysis skills Highly motivated with interest in subject area and