73 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" positions at Leibniz
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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
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responsibilities: creating online surveys, analysing survey data and reporting results contributing to the management of scientific project data and development of structured knowledge resources assisting with
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metagenomic data) in relation to health outcomes Ability to liaise between disciplines, bridging between medical infrastructure and clinical as well as basic research Experience or interest in data analysis
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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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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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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