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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 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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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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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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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
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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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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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Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the programme of study You will then need to provide the following
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technologies represent a convenient opportunity to automate complex code analyses and transformation to obtain improved characteristics in the output code. Modern initiatives rely on a multi-layer approach to