155 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Forschungszentrum Jülich in Germany
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de
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: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
. Investigate how resistive switching mechanisms influence the optical properties. Fabrication of multilayer device structures composed of diverse materials using advanced thin-film deposition and nanofabrication
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in Physics, Quantum Phenomena or a related discipline Experience in the application of neutron scattering methods for the investigation of the structure and excitations in condensed matter systems
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/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a comprehensive further training program; a structured program of continuing education and networking
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic