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Field
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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CV, cover letter, and contact information for two references, to Prof. Elmar Schiebel at schiebel.elmar@zmbh.uni-heidelberg.de . The PhD student will be a member of the Heidelberg Biosciences
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 1 month 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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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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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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, 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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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | 3 months ago
organization & architecture, Microbial communities & host-microbe interactions, Natural products & chemical biology, Physical biology, Physiology & metabolism, Signal transduction & information processing