508 coding-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs in Germany
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Independent way of working Basic programming skills (Python) advantageous Very good knowledge of German or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
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candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority
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(franca.tosetti@gesis.org ). Interested? Please apply via our Online-application portal until 17.03.2026. Our reference number is: CSS-117 Where to apply Website https://gesis.jobs.personio.de/job/2546475?language
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on the TVöD-Bund collective agreement can be found on the BMI website: https://go.fzj.de/bmi.tvoed. The monthly salaries in euros can be found here: https://go.fzj.de/bmi.tvoed.entgelt ADDITIONAL BENEFITS
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Service makes it easier for international employees to get started CAREER CENTER: You will receive explicit support with regard to your career development opportunities: https://go.fzj.de/careercenter FIXED
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ScienceCountryGermanyCityRostockPostal Code18059StreetAlbert-Einstein-Straße 22Geofield Contact City Rostock Website https://www.uni-rostock.de/en/ Postal Code 18051 E-Mail alke.martens@uni-rostock.de STATUS: EXPIRED X (formerly Twitter
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) in the field of model and code development for the transformation and circularity in energy-intensive industries (steel, cement, and plastics) starting as soon as possible. The position is initially
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
) appointments FLEXIBILITY: Flexible 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 HEALTH
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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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, D. D. et al., LSPD: A Large-Scale Pornographic Dataset for Detection and Classification — https://inass.org/wp-content/uploads/2021/09/2022022819.pdf [2] Jia, M. et al., Fashionpedia: Ontology