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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 2 months ago
your career goals Any research background or skills that make you a strong fit Contact Information for 2–3 References: Names, titles, institutions, emails (ideally your Master's thesis advisor and 1–2
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, in Africa and Europe. Requirements include a university degree (master's or equivalent) in archaeometry, mineralogy, or materials science, as well as the motivation to develop fundamental new data
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to work on fundamental new data relevant to archaeological research and a willingness to work in a team. A further requirement is a willingness to undertake several weeks of fieldwork (collection of raw
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map
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, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The project focuses on the comprehensive characterisation of the zygotene cilium and
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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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experience with methods of molecular biology 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