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Field
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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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or LibreOffice, Linux proficient in dealing with operating systems and high-performance computing facilities We expect: the ability to work independently and on your own initiative a methodical and systematic
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candidates (f/m/d). German language skills are not a prerequisite. However, the successful candidate is expected to acquire sufficient language skills to perform teaching and administrative duties in German
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operation Participation in project meetings. Coordination with internal and external partners Publication and presentation of research results in relevant journals and at international conferences Your
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for carbohydrate analysis using ion chromatography (e.g. HPIC, HPAEC-PAD, LC-MS) and preparative column chromatography Planning and carrying out sampling as part of field campaigns Independent performance
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outstanding key performance indicators. Your tasks in detail: Contribute to develop an innovative process for the autothermal dehydrogenation of LOHC using fundamental knowledge of chemical engineering
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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT
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for an ideal balance between stability, performance and price Building a test station for evaluation of electrochemical performance in short stack Physical, spectroscopic, and electrochemical characterization