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in theory and in the lab, • have a strong interest in interdisciplinary work and commitment to work in Life Sciences, • be self-motivated and able to work independently, • and possess good knowledge
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analysis of social change; it is primarily in this domain that its researchers contribute to anthropological theory, though many programmes also have applied significance and political topicality
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historical and cultural issues. In addition to that, particular emphasis is placed on theories and approaches of modern literary studies and linguistics. Topics and methods in the digital humanities and
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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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qualifications. You will teach students in accordance with the teaching regulations of the state of Hesse in the subjects “Animal Physiology” and “Neurobiology”. You will carry out research projects with a focus
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qualifications. You will teach students in accordance with the teaching regulations of the state of Hesse in the subjects “Animal Physiology” and “Neurobiology”. You will carry out research projects with a focus
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to doctoral researchers aiming for successful careers in science. Our comprehensive curriculum allows our students to tailor their learning to their interests, requiring them to earn 25 ECTS through various
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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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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with