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of efficiency, training performance or inference behavior What you bring to the table Enrolled Bachelor's/Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical
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and reduction Development and application of big data analytics for large X-ray data sets Application of Bayesian methods to X-ray data Combinatorial analysis of various data from complementary
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this knowledge gap and establish improved GHG models accounting for soil invertebrates. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental
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annotation, image recognition, data extraction); Development and maintenance of statistical software tools for causal inference and open science applications. Your qualifications profile Enrolment in a
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Bayesian belief networks; Experience in scenario development approaches, e.g. SSPs; Experience in the application of R-based analytical tools for qualitative or semi-quantitative modelling, incl. RQDA
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. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental parameter measures and DNA data. Your Tasks Participation in fieldwork in Germany
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sampling algorithms to Bayesian learning paradigm Quantum-assisted training algorithms for sparse machine learning models. What you bring to the table Formal conditions to start a master thesis on a German
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-analysis techniques, causal inference and quasi-experimental methods is a strong asset; Familiarity with reference management tools (e.g., Zotero, Mendeley) and systematic review tools (e.g., EPPI, Covidence
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University of Münster, Mathematics Münster Cluster of Excellence Position ID: 2171 -MATHRIX [#26801] Position Title: Position Type: Non tenure-track faculty Position Location: Muenster, Nordrhein
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University of Bonn, Hausdorff Center for Mathematics Position ID: HCM -W3PROB [#26739] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Bonn, Nordrhein-Westfalen 53115