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Field
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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Railway Mechanics is the core of the competence center CHARMEC whose research focuses on the mechanical interaction between components in trains and tracks. Among other things, the research provides
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, or multitrophic interactions is a strong merit. Experience with computational methods such as multilayer networks, Bayesian inference, or higher-order network models is also a merit. The ability to communicate
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aims to develop new knowledge about how AR can support work in underground mines. The project aims to develop and implement Augmented Reality (AR)-based maintenance support for drill rigs. Its objective
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investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
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industry and includes practical process work, sample handling, analysis and interpretation of results in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct
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in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct and document laboratory- and pilot-scale experiments in dairy and membrane processes, develop and
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voltage and current matching. The project aims to achieve scalability by transferring nanowire solar cells onto lightweight, flexible substrates. The main objectives include: Increasing the efficiency
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the objective of elucidating how exposures and genome impact gut microbiome, host immune system and metabolism, and how the interplay of these factors impact life-course health, especially immune-mediated