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Field
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. The research associate (doctoral student) is expected to work and conduct research in the area of entrepreneurship and family enterprise while participating in the doctoral program. The position (m/f/x) is
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Research Associate (Postdoc) in Animal Network Ecology § 28 Subsection 2 HmbHG Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Lab of Animal Network
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on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer
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for laboratories and TBE. In close coordination with all those involved in planning, you develop viable solutions. Shaping the process from planning to commissioning: You drive standardisation and modular laboratory
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description/Project description You will conduct incubation experiments with sediment cores and the overlying water column in order to produce a well-founded risk assessment of a newly developed process for
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme is designed for students, graduates and doctoral candidates. It aims to help them improve their knowledge
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expertise in genetic-epidemiological data analysis in UKBiobank and/or AllofUs. Additionally, you have a PhD/doctorate in a life-science related discipline (e.g., life-science informatics, molecular medicine
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
computational methods to investigate the structure, dynamics and function of cellular systems at molecular scale. It consists of about 200 employees from more than 25 countries, and is located at the Campus
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, project management, science communication, environmental science, geography, computer science, social science, political science, international development, ecology, economics or related fields general
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. The projects use mixed-methods approaches, including qualitative interviews with and documents from stakeholders and policy makers etc. Computational text analysis methods allow us to analyze gendered debates