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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 1 day ago
, researchers from the fields of biology, chemistry, physics, and medicine collaborate across disciplines, supported by high-performance service facilities and a modern research infrastructure. As the largest
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, ecology, mathematics, or a related field Strong programming skills, preferably in Python (experience with scientific computing, ML frameworks, high performance computing and geospatial data are highly
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-related regional focus Language training provided Special promotion / funding of the programme ERASMUS+ Franco-German University (FGU) Other (e.g. state level) Course-specific, integrated German
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, Fortran) and using high-performance computers (HPC clusters) Ability and willingness to participate in geophysical field measurements lasting several weeks Experience in managing, planning and conducting
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enrolled in our research-oriented PhD/doctoral programme. In our optics / photonics and quantum technology programme, we offer: high-end research and education in a world-class scientific environment with
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observational studies related to event-camera sensing, ensur-ing high-quality data collection and reproducible research outcomes. Create and curate an event camera dataset to support the development of computer
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colloquia , scientific communication , regular semester lectures , training in teaching , professional qualification courses , and an annual retreat . The course programme includes a high-level review lecture
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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the discipline of doctoral study has to be above average (at least "good" in the German system or equivalent). Only disciplines from the Faculty of Humanities or the Faculty of Mathematics, Informatics and Natural
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, vector stores, graph databases, knowledge graphs, huggingface interest in data science, clustering, topic models, classification, entity extraction and linking, high-performance compute cluster with high