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) to reconstruct the sea surface height signal associated with different dynamic features: internal tide waves and mesoscale dynamics. The project is part of the Adopt A Crossover consortium, with the lead
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analysis Experience working with R and Python for data analysis and image processing Familiarity with image analysis tools (e.g., ImageJ/Fiji, CellProfiler, or similar platforms) is desirable Education and
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, survival models). Experience with causal inference approaches such as instrumental variable models, propensity-score methods, difference-in-difference designs, regression discontinuity, G-estimation
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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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cultivation, and PV performance at different sites. You collect sensor data, preprocess the data, and analyze it. What you contribute You are studying mechatronics, microsystems technology, computer
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visualization Scientific programming in MATLAB and/or Python (10%) Scientific/engineering technical writing, for the purpose of sharing results in peer-reviewed academic journals Requirements Minimum Acceptable
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the resilience of multi-layer systems in temperate climates (Jacobi et al., 2025). Hence, it would be beneficial to explore the effects of different combinations of levers, such as the choice of tree and crop
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unify existing research prototypes from several codebases in different academic projects to create an interoperable set of tools that is generally useful for longitudinal monitoring of LLMs. The tooling
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methodological approaches Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the following is an asset: LCA tools, computational design, structural
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 17 hours ago
-scale assimilation Develop new interfaces between PDAF and different data assimilation systems of project partners and to machine-learning based assimilation methods Extend the ensemble assimilation