150 associate-professor-computer "https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
website: https://www.fz-juelich.de/en/pgi/pgi-7 and the website for the mentioned project (in German): https://neurosys.info/projekte/ Your Profile: Completed qualification for enrollment in the project
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month’s salary. All information about the TVöD-Bund collective agreement can be found on the BMI website (pay scale table on page 66 of the PDF download): https://go.fzj.de/bmi.tvoed PERSPECTIVE
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your master`s degree in energy technology, engineering, environmental sciences, renewable energies, industrial engineering, materials and earth sciences, or a comparable degree program You are required
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the comprehensive training programme of the graduate school HDS-LEE https://www.hds-lee.de/ A structured doctoral degree programme via our doctoral researchers’ platform JuDocs https://www.fz-juelich.de/judocs
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scientific advisors and opportunity to mentor students Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A
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teaching at various levels Experience in acquiring third party funding would be appreciated Very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de
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required (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ) Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively
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English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level. Knowledge of German is not prerequisite
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, enabling you to build and expand your scientific network PERSONAL DEVELOPMENT: Integration to the JuDocs Center ( Jülich Center for Doctoral Researchers and Supervisors: https://go.fzj.de/JuDocs ) offering
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and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface of bioengineering, computational biophysics, and data-driven modeling, with strong links to open