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/digitization workflows and multilingual skills • prior research on banking, credit, finance or related topics • strong quantitative and econometric skills (panel data, time series, causal inference) • Experience
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
) package, and the broader MW-Atlas computational infrastructure The goal is to enable scalable, information-theoretically consistent inference of Galactic structure from heterogeneous and large-scale
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 8 days ago
raw optoacoustic signals into robust, quantitative biomarker readouts Design and implement inference models for non-invasive in-blood biomarker detection Define and evaluate performance metrics, and
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of the research project “Unreal engines — Understanding language models through resource-optimal analysis: Implicit Bayesian pragmatic reasoning & emergent causal world models”. The project uses
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 3 hours ago
opportunities to model and predict socio-demographic and economic indicators over the life course. This project would combine powerful predictive tools with approaches from causal inference to advance our
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 days ago
, the successful candidate will work on a project aimed at understanding which factors are shaping the length of working life; and/or on projects in survival analysis and causal inference. The candidate will develop
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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research interest in social stratification, preferably economic inequality Demonstrated expertise in quantitative methods, such as panel data analysis and causal inference, including experimental designs
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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