144 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"PhD-Jobs" positions in Germany
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code: 2026/WD 1 Commencement date: 01.02.2026 Work location: Geesthacht Application deadline: January 27th, 2026 The Institute of Material and Process Design at the Helmholtz-Zentrum Hereon is offering a
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optical communication networks and systems as well as the coding of video signals and data processing. Be a part of our team and come on a journey of research and innovation! What you will do Development
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focus involves either terrestrial animals (preferably insects) or modeling of biotic interactions strong quantitative skills (at least good command of statistics in a coding-based language) ability
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required, to submit their GRE scores. Ask the Educational Testing Service (ETS) to report your scores using the DI code 4051. Writing sample: For example, submit a paper written in English during your
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for the stage in which the complete application is submitted cannot be accepted. The TOEFL-designated institution code for GSEFM is "7276". Application deadline Applications will be reviewed in three stages with
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desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online data collection and
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according to grid codes (transmission system operator specifications) Performing dynamic stability studies of modern low inertia power transmission systems (transient stability, fault-ride-through, etc.) and
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software projects, as are skills in software development and debugging Experience in static and dynamic program analysis (lectures on compiler construction, code analysis, knowledge of assembler, etc.) as
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, regardless of nationality, gender, or background. Note: The recruitment process will adhere strictly to the European Charter for Researchers principles and the Code of Conduct for the Recruitment
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will need strong coding skills (preferably Python, but also other software and hardware description languages) as well as experience with Machine Learning Frameworks (such as TensorFlow, PyTorch, Stable