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groups of Guinea baboons that are part of a community of more than 400 individuals. We combine behavioral observations, analysis of ranging patterns using GPS data, population genetics, acoustic analyses
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into account as disruptive events, and which strategies can be derived from this for a resilient system design. Your contribution to scientific analysis: Further develop existing energy system models in Python
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helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information, please visit the following link: https
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coverage of both theory and empirical analysis, the PhD programme at GSEFM offers a two-year cycle of doctoral-level courses developed specifically to transmit a rigorous methodological framework in the core
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processes. This has created a need to offer doctoral candidates a broad education and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and
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Course location Gießen Description/content A Structured PhD Programme Within a Cutting-Edge Research Environment At the GCSC, you will actively participate in a research-intensive environment from
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plan by conducting experiments, sample and data analysis, and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher! Throughout
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offers interdisciplinary approaches to biomedical research with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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Science Research Forum: Developing PhD Research Projects Advanced Econometrics Fundamentals of Experimental Design and Analysis Introduction to Econometrics Course organisation The programme consists of two