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to characterize biodegradable Mg alloys containing a Long Periodic Stacking Ordered (LPSO) phase, developed for medical implant applications. You will be responsible for establishing a correlative
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Jülich Participation in the development of the institute Your Profile: Sucessfully completed scientific university degree (Master) in the fields of chemical engineering, technical chemistry, physical
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journals and at national and international conferences Participation in the development of the institute Your Profile: Sucessfully completed scientific university degree (Master) in the fields of chemical
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conferences Collaboration with other working groups at Forschungszentrum Jülich Participation in the development of the institute Your Profile: Sucessfully completed scientific university degree (Master) in
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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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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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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
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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