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. The flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development. Data evaluation is an essential part of the project work to distinguish between
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with experience in causal inference using panel data (e.g., Difference-in-differences) solid knowledge of Stata, R and/or Python for conducting econometric analysis previous knowledge of conducting
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), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot, Marvin Wright, Vanessa Didelez), and etiologic and molecular epidemiology (Konrad Stopsack
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organoids Analyze primary data and integrate results with published scientific data and literature Present research findings at national and international level Draft manuscripts and develop future research
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6392 58243, sophia.mareck(at)fbh-berlin.de Data protection notice: The above contact details are provided exclusively for interested applicants to get in touch. Enquiries from recruitment agencies
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network analyses experience is useful Experience in data analysis and scientific publication Ability to work in a team, good English communication skills A driver licence is useful Our offer We offer
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risk prediction Analysis of primary and secondary data Preparation of reports and English-language publications Presentation of results at conferences Requirements: Completed degree in health sciences
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tasks: Designing and perform experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, document and presenting experimental data and results Actively
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System, particularly in coastal environments Further information: For questions, please contact Prof. Dr. Nils Moosdorf, email: nils.moosdorf(at)leibniz-zmt.de Details of position: Salary will be paid