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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Data Engineer/ Research Data Manager (m/f/d) to work in the Open Science
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change, partly based on a long-term monitoring program maintained in a shallow river-connected lake. We look forward to recruiting a creative and dedicated experimental ecologist with expertise in
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practical tools for the development of new test methods for multifunctional composite components. The focus is on X-ray computed tomography and ultrasound-based methods (pulse-echo ultrasound, guided waves
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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machine learning techniques or computational methods for text and data analysis is appreciated The working language of our research team is English; therefore, proficiency in English is essential. While not
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in environmental science, geography, computer science, quantitative social or political science, physics, ecology, economics, or related fields general knowledge of climate research ability to solve
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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 Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial and energy systems into a sustainable bio-based circular economy. We develop and integrate...
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funding activities in the field of research data management or software engineering Our requirements: University degree in computer science, chemistry, physics, mathematics or engineering, completed PhD in
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Geosciences – as well as the Marine Observation Department, work interdisciplinarily within the framework of a joint research programme . Equal opportunities, family-friendliness, and work-life balance