151 coding-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Forschungszentrum Jülich in Germany
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greenhouse and laboratory work Very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ) Our Offer: We work on the very latest issues
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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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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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working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs FAIR REMUNERATION: Depending on your
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REMUNERATION: Your thesis will be appropriately remunerated by us In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications
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JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461 61-8100 STATUS: EXPIRED X (formerly
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the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ); knowledge of German is beneficial Our Offer: We work on the very latest issues that impact our society and are offering you
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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