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Hybrid Crop Modelling Framework, integrating Process-Based Models (PBMs) with Machine Learning (ML) to enhance the accuracy and interpretability of crop yield forecasts, while evaluating key ecosystem
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of hydrological models to reliably forecast extreme hydrological events. However, these data sets must initially undergo interpolation before integration into hydrological models. Current research is developing
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 15 days ago
for highly-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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, current, temperature, pressure, flow) to forecast electrolyzer efficiency, degradation and stability. You will build data pipelines, refine predictive rules through a review-and-correction loop, and
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Your Job: This thesis seeks to apply geospatial modeling, waste volume forecasting, and logistic optimization to determine the ideal locations for large-scale PV waste treatment facilities. It also
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familiarity with the second method even if not applied yet extensively in practice: (i) climate modelling and forecasting also including climate impact modelling, or (ii) agricultural survey or census data
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synthesized responses generated by AI-driven search engines? How does recommendation sentiment change with content presentation? Can we develop quantitative and qualitative metrics that accurately forecast
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of samples and structured metadata along lab scale comminution experiments and validation of modelling results Evaluation of the forecasting capabilities of the methodology integrated within a flowsheet
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
priorities to align team direction with funding and visibility goals. Forecast scientific resource needs (e.g. staffing bandwidth, budget milestones). Triage incoming scientific communications (e.g