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research projects communication of research results in stakeholder dialogues with industry actors and policy makers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics
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: willingness to learn R) Ability to work both in a team and independently Excellent proficiency in English Knowledge of quantitative methods and/or computational text analysis is an advantage Experience with Git
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
of processing steps and results Your qualifications: Ongoing B.Sc. or M.Sc. studies in geosciences, environmental sciences, geography, agricultural sciences, computer science, or a related field at a German
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insights from evolutionary biology, political science, and computational social science. Your tasks and duties Supporting researchers with tasks such as literature reviews, empirical data collection
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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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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The Leibniz Institute for Tropospheric Research is a research institute of the Leibniz Association and an internationally renowned institute in the field of aerosol and cloud research. The Atmospheric Chemistry Department (ACD) is looking for an experienced and motivated scientist to set up and...
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management and computation Access to a network of national and international scientific partners in the field of research A collegial and open-minded working atmosphere in a dynamic research institution
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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