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and machine learning to establish a modeling framework that uses omic data for providing effective degradation rates of biomolecules and predictions of their impact on soil organic matter turnover
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that define protein structures, functions, dynamics and interactions Protein structure prediction and modelling, e.g. in Rosetta, MODELLER, AlphaFold, etc. Protein-peptide complex prediction or docking
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Understanding of the principles that define protein structures, functions, dynamics and interactions o Protein structure prediction and modelling, e.g. in Rosetta, MODELLER, AlphaFold, etc. o Protein
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understanding of the key factors that affect their performance is limited by the fact that most of the characterisation techniques used in the field obtain average properties of what in reality is an ensemble
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contributes to the improvement of climate prediction models. The Atmospheric Chemistry and Atmospheric Microphysics departments are looking for a committed doctoral student to carry out this project. You can
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attractive that the city is predicted to have the highest population growth in NRW. With over 4,800 international students from more than 135 countries, the university contributes significantly
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
important part of our personnel policy. Your tasks #analysis and bias adjustment of an existing large ensemble of regional climate model simulations for Hamburg and Heide #development of impactful heatwave
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) Leipzig and Leipzig University Hospital. One of the aims of PollenNet is to predict pollen levels in the air, using observations of flowering plants collected via the Flora Incognita app. Your tasks First
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. D. positions funded by the ERC (European Research Council) to work on the 'EFT-XYZ' (Effective Field Theories to understand and predict the Nature of the XYZ Exotic Hadrons) project-advanced-ERC-2023
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, you will develop highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function