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applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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related domain such as mathematics or applied mathematics. You can demonstrate excellent study results. You can demonstrate strong quantitative skills. You can demonstrate experience in coding. You can
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excellent study results. You can demonstrate strong quantitative skills. Interest in or experience with health economics research is an asset. You can demonstrate experience in coding. You can demonstrate
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and consenting Conduct surveys and/or qualitative interviews Manage data and audio files of research interviews at all steps--from transcription and coding through data analysis. Assist with qualitative
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block diagrams, the high-level layout of component arrangements or source code. Supervisory Team: The candidate will be supervised within the Cybersecurity and Computing by Dr Abdul Razaq and Dr Sanaz
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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work
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employment: as soon as possible Duration of employment: 3 years Working time: 29 h 52 min (75 %) Application deadline: 2025-07-30 Code number: 326-25 Your main tasks Participation in the DFG-funded project
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an overview of your experience with molecular dynamics, density-functional-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc