285 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "inserm" "Inserm" positions at DAAD
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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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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
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women to apply for the vacant position. Applications from severely disabled persons will be given preference if they are equally qualified ( sbv.desy.de ). You can find further information here: https
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arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a
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of industrial processes. The Department of Computational Fluid Dynamics is seeking a PhD Student (f/m/d) to contribute to “Experimental analysis and simulation of flow-induced vibration in gas-liquid two-phase
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ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en ) Eligibility requirements
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collaborative projects Involvement in outreach activities and supervision of Bachelor’s and Master’s theses About you: Completed university degree (Master’s or equivalent) in physics, computer
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of the host organization of last 36 months. As secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu
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Description The International Max Planck Research School for Molecular Plant Science (IMPRS MolPlant) is a doctoral programme in plant science at the Max Planck Institute of Molecular Plant
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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