7 phd-in-optimization-modeling Postdoctoral positions at Forschungszentrum Jülich in Germany
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Postdoc – Synthesis and up-scaling of high-performance active materials for Na solid-state batteries
the highest possible yield and optimized particle morphology Modification of the synthesis to introduce dopants which increase the materials performace Production of model cells based on various solid
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simulations of CG model enzymes and their constructs to optimize the overall catalytic activity. The work will be done in collaboration with Prof. S. Kondrat from the Institute of Physical Chemistry in Warsaw
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the modelling pipeline Your Profile: A university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation
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a seed company, aims to identify in maize and soybean germplasm optimal trait combinations resulting in plant lines with an improved yield by optimising water and fertiliser (nitrogen) uptake
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for optimal ones, so that potentially high-performing cathode materials can be found without the need for expensive and time-consuming synthesis of many possible materials. Your Job: Modeling cathode materials
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(such as DFT and AIMD), thermodynamics and kinetics as well as finite element methods will be applied to perform a rapid and reliable screening of various compositions in the search for optimal ones, so that
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optimization techniques tailored to experimental constraints Your Profile: Master’s degree and PhD in quantum physics (or in a related domain) Background and strong interest in developing theoretical models and