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artificial intelligence methods. PhD position in atmospheric corrosion studies via novel experiments and machine learning Reference code: 50134137_2 – 2025/MO 1 Commencement date: as soon as possible Work
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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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Degree or equivalent Skills/Qualifications M.Sc. degree in engineering, applied mathematics, computer sciences or related fields. Excellent analytical skills, strong interest and capabilities in
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analytical data analysis workflows, together with other team members Implement AI-based microscopy image analysis software as python packages Develop algorithms to integrate topology constraints in AI models
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an international team. Analytical thinking, careful working style and ability to work in a team. Ideally knowledge in quantitative data analysis and programming. We offer a unique opportunity to work in a highly
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30 Jan 2025 Job Information Organisation/Company Technical University of Munich Department Engineering Risk Analysis Group Research Field Engineering » Civil engineering Engineering » Other
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Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the
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of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics-based concepts
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biology techniques (e.g., RNA/DNA extraction, sequencing) Familiarity with bioinformatics tools and data analysis for single-cell RNA sequencing and epigenetics (or willingness to learn) Strong analytical
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of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics-based concepts