42 algorithm-development-"Prof"-"Prof" PhD positions at Forschungszentrum Jülich in Germany
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of the possible influence of storage-related factors on the LOHC purity Method development and application of suitable analytics (e.g. GC(-MS), NMR, etc.) for the qualitative and quantitative determination of by
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occur, and how can the overloading of individual regions be counteracted? Your contribution to scientific analysis: Further develop existing energy system models in Python to accurately map and analyze
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or diploma in physics, biophysics, applied mathematics, chemistry, or a relevant engineering discipline Strong motivation to study motility of microswimmers and develop computational models Good programming
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Participation in the development of the institute Your Profile: Sucessfully completed scientific university degree (Master) in the fields of technical chemistry, physical chemistry or a comparable discipline
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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ
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the manufacturing and characterization of material samples. As such, the position offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated
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characterization of electrocatalytic reactions Benchmarking state of the art materials as a baseline for the developed system Study of next-generation materials degradation in real-time, operando Method development
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Evaluation and modeling of the influence of water on the energy transition This doctoral thesis offers you the opportunity to actively participate in the development of solutions for sustainable energy and
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change on renewable energy production. This work will leverage and expand upon RESkit - an open-source renewable energy simulaton framework developed at our institute (available on Github: https
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models