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(short reports, economic policy articles or academic papers). Creating and delivering presentations for communication with external stakeholders. Your Profile Enrolled in a bachelor's degree program in
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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! background in computer science, open-source projects, digital engineering, data science or related fields good software design skills and experience in building and maintaining data processing pipelines and
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density and neutral composition under different geophysical conditions, which have potential impacts on satellite operations. Your Qualifications / Experience: Mmaster's degree in physics, engineering
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. You will have access to a unique range of testing machines and measurement technology, enabling you to effectively develop important experimental results in the above-mentioned areas. You will join a
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energy transition, and defense economics, among others. In this role, you will work closely with advanced Ph.D. students and postdoctoral scholars from the Next-Geo program to assist them with
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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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Qualifications / Experience: A PhD degree in physics, engineering, environmental sciences, or a related discipline, is required Knowledge and hands-on experience with atmospheric lidars or other atmospheric
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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technology and in the field of monitoring is also required. Therefore, information on relevant experience must be included in your application. Relevant experience in leading scientific working groups and