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per week. Key responsibilities: data extraction from policy/project evaluation reports and/or scientific documents critical assessment of document’s quality/methods annotation of causal links from
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below) . For e-mail application, create a single PDF file and send it to tenuretrack(at)zalf.de stating the reference number T01-2026. https://jobs.zalf.de/jobposting
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physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
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sounding systems Basic knowledge on middle atmosphere dynamics and spectroscopic methods Fundamental programming skills in, e.g., Python, Julia, C/C++. Expertise in automatic data processing and handling
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part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further
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to detail ideally, strong understanding of causal relationships/mechanisms experience with (quantitative) research methods including econometrics is a plus We expect: the ability to work independently and on
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the material properties of fiber-reinforced plastic composites, especially when these are reinforced with additional structures. The aim here is to deepen the understanding of the materials and methods involved
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PhD program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration according to TV-L, level 13 (65 %), plus annual special
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(at)tum.de . More information on the working group can be found here: https://www.leibniz-lsb.de/en/research/research-sections/section-ii/ . Please send your application, including a tabular CV and a current
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at andreas.mulch(at)senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https