82 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Leibniz in Germany
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for the analysis of stable carbon isotopes in methane using the Picarro system. You will collect quantitative data for MPn in water samples from the Baltic Sea and the Warnow Estuary in order to investigate its
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and/or in the field of histology Experience in animal experimentation is an advantage Knowledge of statistical methods for data analysis Very good written and spoken English skills Willingness to stay
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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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, marine biology, ecology or related fields and should ideally have demonstrated experience in aquaculture and/or marine aquaristics and physiology. Particular focus is on seaweed handling, data processing
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orientation. Severely disabled applicants are given preference in case of equal suitability. We kindly ask you to refrain from sending a photo as part of the application. Information on how we protect your data
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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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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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experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, documenting and presenting experimental data and results Actively participate in scientific
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data