106 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" uni jobs at DAAD
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environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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60% of the coursework in their degree program. What can be funded? A study semester at a German university, followed by a 4 to 6 month internship in a German company Duration of the funding 12 months
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis . This project has received funding from the European Union’s Horizon Europe research and innovation program under the MARIE
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committed to the compatibility of family and career → further information at https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service In the case of essentially equal qualifications
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citizenship Licenciatura-degree in study programmes with a minimum of eigth semesters or evidence of professional qualification within a study programme with a minimum of ten semesters. Academic excellence, you
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational
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individually, e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR REMUNERATION: Depending on your qualifications and assigned
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu