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Proficiency in spoken and written English. Team spirit and strong analytical thinking skills. Please state your expertise (if existing) with respect to: Turbulence and (flow) instabilities. Analyzing time
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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fundamentals of chemical reaction engineering Construct and operate continuous experimental plants Use state of the art techniques to investigate the functioning of applied catalysts Develop analytical
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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related field of study • Interest in energy technology and energy economics • Experience in energy system modelling is an advantage • Basic programming skills, ideally in Python • Independent and analytical
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research on secure algorithms and protocols for privacy-preserving analysis of genomic and clinical data. Develop and integrate methods for variant filtering, prioritization, and rare-variant association
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understanding of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics
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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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analytical procedures and data processing methods to determine key performance indicators Evaluate your results formulate conclusions and present them at national and international conferences and in
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/Diploma) in food chemistry, biochemistry, nutritional sciences or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS experience in