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Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing Assistance in Complex Acoustic
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Assistance in Complex Acoustic Environments within the general study programme Electrical and Electronic Engineering. The PhD Stipends are open from August 1, 2026, and the integrated PhD stipends are open for
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of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes and drug–excipient
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turbine measurements to expected variability across large real-world turbine populations). Your competencies We are looking for a candidate who is driven by complex, interdisciplinary challenges and has a
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computational modeling of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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conditions for the emergence of complex lifeforms; How microbes in the Anthropocene act as sinks or sources of various greenhouse gases. Finally, how to harness microbial microorganisms for sustainable
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virtual screening, generative machine learning (ML) models, and automated reaction exploration to gain insights into complex chemical systems. This is an opportunity to work at the forefront
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with collaborators developing genome-scale and process-level models. PhD position in adaptive responses of complex methanogenic microbiomes (3 years) This position centers on complex microbial
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relevant analytes at very low concentrations in highly complex and interfering media such as blood, urine or saliva. In CAMINO, we will design, fabricate and evaluate electroanalytical sensor platforms