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include: Intrinsic uncertainty estimation in MLFFs (epistemic & aleatoric uncertainty) Negative log-likelihood and calibration methods for force-field training Feature-space and orbit-based analysis
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, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods, including, but not restricted to, geometry or shape
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validation (V&V) techniques for space systems, software and algorithms with a focus on specific challenges of space-borne perception and proximity operations uncooperative spacecraft . Develop novel methods
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activities, including the design and implementation of novel methods, experimental evaluation, and dissemination of results through high-quality scientific publications. Beyond technical contributions, you are
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genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption of the methods. The project is carried out in close
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heterogeneous multi-omics datasets. Integrative Data Analysis: Perform and lead analysis of large-scale multi-omics datasets, including RNA/DNA sequencing, methylation, and metabolomics. Method Development
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research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km
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empirical methods/mixed methods research Openness to further research in participatory, arts-based and or digitally-informed contexts in the area of inclusive education International publications in peer
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; Experience in quasi-experimental evaluation methods and causal inference would be desirable ; Strong academic writing skills and a track record of peer-reviewed publications or high-quality working papers
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a tax haven. By employing a law and history approach the LUXTAX project aims to investigate the history of Luxembourg's tax regime, its beneficial elements through time as well as the socio-economic