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Postdoc – Synthesis and up-scaling of high-performance active materials for Na solid-state batteries
manufacturing process of future battery systems - from materials synthesis to characterization. Your Profile: Successfully completed scientific university degree (Master) in the field of chemistry, materials
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: https://www.fz-juelich.de/profile/frunzke_j Your Profile: Highly motivated and excellent candidates with a Master of Science degree in biology, biochemistry or related subjects are strongly encouraged
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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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, chemistry, environmental sciences or a related field with good final grade (German system equivalent 2.0 or better) Very good experimental skills are essential Experience with AirCores, GC systems, Balloon
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position within a Research Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Scientific / postdoctoral posts Job description: Your Job: In our
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Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications
, physics, data science, computer science or a related field Knowledge on the fundamentals of NMR spectroscopy Experience in Python programming Expertise on the fundamentals of electrochemistry and spin
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electrochemical NMR setups may influence spin state preparation using spectrograms Your Profile: Ongoing master studies in chemistry, physics, data science, computer science or a related field Knowledge on
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Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and related disciplines Very good grades in the masters and bachelors degrees are mandatory Knowledge
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batteries and also includes a research visit to France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with
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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