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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
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signaling models”. The scholarship is full-time for 2 years, with access starting in May 2026 or by agreement. The research will be carried out in the laboratory of Cemal Erdem at the Department of Medical
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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modelling in transdisciplinary processes in order to examine ecological and socio-spatial change, existing biodiversity governance regimes and develop multispecies ethnographies to better understand
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their EVs stimulate or regulate immune responses. They will also investigate if EVs can be used for cancer immunotherapy. The studies will be performed in model systems in vitro and in vivo. The studies will
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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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modelling. At the division of Applied Chemistry , we primarily focus on applied research, that is, research aimed at addressing societal challenges and that is ready for implementation either immediately or
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of control mechanisms and evaluation methods that hold regardless of which underlying TTS technology is used. This is a core requirement in a field where generative AI models evolve rapidly. We
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and optic lobes. These data will be compared with related model species with less complex eyes. Work duties The main duties involved in a post-doctoral position is to conduct research. Teaching may also
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
trachomatis and either host cell-autonomous immunity or advanced culture models. ENVIRONMENT The postdocs will join the group of Dr. Barbara Sixt (Sixt Lab ), a highly international research team that is