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Disease. The antibodies will be engineered for optimal target engagement. The work involves a close collaboration with PI Dr. Simon Glerup (CSO, Draupnir Bio ApS) and Assoc. Prof. Nathalie Van Den Berge
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
-criteria evaluation and identification of optimal retrofit strategies. The scholarship holder will therefore work within the scope of assessing the energy performance and environmental impact of existing
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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://netzeroamerica.princeton.edu/the-report) that developed uniquely-granular spatial, temporal, sectoral, technological, and socio-economic analyses to vividly describe at politically and societally relevant scales different
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metastability processes under different operating conditions (dark, illumination, electrical bias); Spatial analysis of performance inhomogeneities and degradation mechanisms using optical and electrical mapping
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
work will consist of optimizing the codes that generate input data and process output data. • The postdoctoral researcher will carry out comparative work using data from geodesy and seismology
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different research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making
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. The duties and responsibilities for this position will be to: 1) Analyze data with the STAR/LHCb experiments. 2) Contribute to the EIC physics program and the optimization of the EPIC backward HCAL project
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consists of more than 40 researchers and doctoral students from 15 different countries and is one of the leading tribology research groups in Europe. The research is both of fundamental and applied nature