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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
PhD degree is preferable in Sociology, but applications from closely related disciplines are welcome Excellent academic publication records appropriate to career stage Strong analytical and
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. The postdoc project is jointly supervised by Oliver Bossdorf and Henri Thomassen. We are looking for a highly motivated researcher with strong analytical skills and a keen interest in genetic biodiversity
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storage at solid-liquid interfaces (i.e., catalyst-molecule) using advanced analytic methodologies (including large-scale research facilities). The current project deals with establishing operando analytic
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robust conceptual and analytical skills, as documented through prior research publications. Practical experience with LLMs (e.g., training, fine-tuning, mechanistic interpretability methods) is required
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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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, as is knowledge of GIS or quantitative data analysis. The successful applicant is expected to work independently as well as collaboratively within an international research team. Strong analytical
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28.01.2026, Academic staff We are looking for a team lead with knowledge in electrochemistry that will lead our activities in RDE/RRDE and flow cell operation coupled to operando analytics, e.g. ICP
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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues
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or a related discipline, with a strong interest in working in a cross-disciplinary life-science environment. In some exceptional cases, ELBE fellows can be analytically-minded experimentalists in
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research tasks, mentoring junior researchers, and coordinating multi-stage projects. Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). Strong analytical, communication, and academic