34 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" positions at DAAD
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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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(KOSPIE) in cooperation with the Argentine Ministry of Education (ALEARG) Ministerio de Educación Presidencia de la Nación Buenos Aires / Argentina https://www.argentina.gob.ar/educacion
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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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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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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literature survey. A preliminary research proposal is required for the application stage with a timetable for a four-year research project. Execution of the research plan through conducting of experiments
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-reconstruction Employment conditions This is a qualification position in the sense of the German Academic Fixed-Term Contract Act (WissZeitVG) and serves to support a doctoral program. The position is full-time
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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of the research plan through conducting of experiments, sample and data analysis and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher
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, other environmental assessment methods and recycling indicators for the project “RAP5 (Responsible Aim Program 5) – Pre-design – Predictive Device Design” as part of the Cluster of Excellence “REC