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Sozialwissenschaften Dr. Ayhan Adams Address StreetSeminarstr. 20Zipcode49074CityOsnabrück Contact details Tel:0541/969 4728 E-Mail: ayhan.adams at uni-osnabrueck.de Web: https://www.uni-osnabrueck.de/fb1
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. 20Zipcode49074CityOsnabrück Contact details Tel:0541/969 4728 E-Mail: ayhan.adams at uni-osnabrueck.de Web: https://www.uni-osnabrueck.de/fb1/sozialwissenschaften/ Legal notice: The information on this website is provided
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regarding the scientific content of the project, please contact Prof. Dr. Chhana Ullah (email: chhana.ullah at uni-goettingen.de ). The University of Göttingen is an equal opportunities employer and places
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Amunts – katrin.amunts at uni-duesseldorf.de For application-related questions: Hector Fellow Academy Office – application at hector-fellow-academy.de
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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To Apply: To apply for the position, please provide the following materials as a single PDF file via email to Dr. Andreas Fischer (andreas.fischer(at)uni-greifswald.de): A letter of motivation detailing your
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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these micropollutants, per- and polyfluoroalkyl substances (PFAS) are of particular concern. Like microplastics, PFAS are highly persistent, mobile, and widely distributed, even in remote areas. Both substance groups
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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the environment, including traffic conditions, travel time, and cost. The project will define the DRL components (states, actions, rewards, policies), select and implement suitable DRL algorithms, and integrate