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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762
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is to train creative, responsible and self-confident young researchers. The relevantproject focusses on the economics of soil-transmitted helminthiasis control interventions. Infections due to soil
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response and how to leverage this knowledge to develop strategies for sustainable disease resistance in crops. Plants have evolved diverse immune receptors to perceive biotic stresses and trigger defence
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projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biophysical approaches to the development of new imaging-related techniques and compounds
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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for policymakers. Within the Marie Skłodowska-Curie project MiningBrines, we use our skillset to help develop a sustainable brine mining whole strategy that extracts and valorizes renewable energy, energetic gases
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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transferable skills such as research management, communication, and career development. For further information, visit: https://www.mbnresearch.com/MS-RADAM/DC-research-projects Requirements Research Field
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such as research management, communication, and career development. For further information, visit: https://www.mbnresearch.com/MS-RADAM/DC-research-projects Requirements Research Field – Physics