122 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich
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, MSc, and PhD level Write research articles, as well as grant proposals, and present your own work at international conferences Your Profile: Master / Diploma and excellent PhD in computer
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a
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program in the field of process engineering, environmental engineering, biotechnology, chemistry, or a related field Interest in process simulation Excellent organizational skills Ability to show initiative
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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environment within the Collaborative Research Centre TPChange program funded by the German Research Foundation and the European Research Infrastructure IAGOS Opportunities to attend conferences abroad and visit
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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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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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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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strong interest in foundational machine learning research and its application to real-world scientific problems. You should bring: A completed university degree (Master or equivalent) in computer