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internal and external (including international) researchers with analytical sessions and ensure accurate instrument operation and data acquisition Contribute to data reduction and interpretation in
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technology and economics Experience in energy system modeling is beneficial First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent
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up to B2 level. Initiative character, creativity, good interpersonal, communication and presentation skills, result orientation and analytical skills Ability to work independently and as a team player
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experience in the methodical and analytical development of energy system models with programming skills, preferably in Python Experience in the successful acquisition of third-party funded projects and in
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such as PyTorch You enjoy analytical thinking You can work independently as well as within a team in a structured manner The position requires physical presence in Berlin. What you can expect Attractive
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completed scientific university education (Master's/Diploma) in food chemistry, chemistry or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS
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institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex
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proven knowledge of conducting plant cultivation experiments, especially for abiotic stress applications knowledge in the use of instrumental analytical methods such as HPLC-MS, GC-MS proven experience in
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. As part of the SPP, the SoilEnergySpots project is jointly led by Prof. Dr. Nicole Strittmatter (Analytical Chemistry), Prof. Dr. Mirjana Minceva (Biothermodynamics), and Dr. Steffen Schweizer (Soil
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developing countries (DAC) from all over the world. It is intended to provide excellent and motivated candidates with the opportunity to strengthen their research and analytical skills throughout the process