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of repository environments. • Bridge the gap between theoretical models and reality by validating simulations against real-world environmental monitoring data. • Contribute to case studies with
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Realization and test of control solutions in simulations and on the laboratory model Where to apply E-mail steinboeck@acin.tuwien.ac.at Requirements Research FieldEngineering » Electrical engineeringEducation
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organization Knowledge of at least one empirical method (desirable) - Computable general equilibrium modeling and simulation or - Econometrics or - Agent-based modeling Excellent command of English High personal
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will develop and benchmark approaches that infer copy-number changes and CIN dynamics directly from single-cell RNA-seq, then connect these CIN signals to (i) the molecular programs that allow tumor
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-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We will develop and benchmark approaches that infer copy-number changes and CIN
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plus) related to electrical engineering, power electronics or similar Strong experience with conceptualisation, simulation, modelling of power electronics (experience in HiL-Methods is a plus) Solid
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, latent variable modelling techniques, structural equation modelling - and strong motivation and curiosity to enlarge these skills further • Excellent command of written and spoken English (C1 Level or
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) • Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets, latent variable modelling techniques