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Field
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
Management The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does
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developing advanced, technologically driven solutions for integrated monitoring and decision-making systems for complex structures and infrastructures. We invite applications for a postdoctoral research
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. The Postdoctoral Associate will also help to build and sustain the Lab of Labs, a collaborative and dynamic network of researchers in purpose science across institutions who desire meaningful opportunities to engage
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understanding of biochemistry and materials chemistry with the ability to perform assay development. The successful candidate must be able to develop independent protocols for complex novel assays for multiple
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– investigating how mucosal epithelia are assembled and maintained, and how these processes inform the origins of complex tissues in animals. Innate immunity and host–microbe interactions – studying the genetic and
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limited understanding of how tumors systemically impair immune responses. Meanwhile, traditional animal models often fail to capture the complexity of human immune-cancer interactions. This position
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we
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systematic perturbation systems for understanding brain network Position Description: We are seeking a highly motivated postdoctoral scholar to join our interdisciplinary research team. The successful
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of the Microverse” (www.microverse-cluster.de ), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (www.funginet.de ) funded by the Deutsche Forschungsgemeinschaft and the
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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 to understand