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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.
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approaches. You have a strong academic track record and hold or are about to obtain an MSc or equivalent degree in a field related to our research. We value diversity and welcome applications from students
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, their achievements and productivity to the success of the whole institution. The "Friedrich List" Faculty of Transport and Traffic Sciences,Institute of Railway Systems and Public Transport, the Chair of Railway Track
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development, especially with neural networks. Experience with standard software development tools (Git, CI/CD, IDEs, issue tracking). Strong interest in academic research and willingness to pursue a PhD
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30, 2026 at the latest). You must have a strong academic background, exceptional motivation in doing translational research and a track record that matches the project(s) for which you are applying
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technical projects, theses, publications, or technical reports. Experience in managing multiple concurrent tasks and priorities independently and track record of meeting project deadlines and delivering
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priorities independently and track record of meeting project deadlines and delivering results without constant supervision. Proven ability to work autonomously on complex technical problems and demonstrated
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work experience evident through technical projects, theses, publications, or technical reports. Experience in managing multiple concurrent tasks and priorities independently and track record of meeting