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electrophysiology. You will perform transcriptomic profiling to reveal disrupted networks, and candidate genes which will be validated against large, unsolved NGS datasets. This project offers a unique opportunity to
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-regulatory network analysis approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis
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-driven approaches to health, society, and policy. BISI combines expertise in epidemiology, biostatistics, health economics, and machine learning to tackle complex societal challenges. BISI is actively
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. You will develop an international scientific network. You will supervise PhD students and postdoctoral researchers. Services You will play a role in the provision of both academic services and service
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member's task is strongly intertwined with the tasks of the other team members. You will develop new techniques to extract the 3D ED data of individual phases within complex, multiphased materials from 5D ED
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environments, as well as chemically and biologically active phases. The goal of the project is to gain fundamental insight into how the structure of these complex materials evolves under working conditions. To
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design strategies. You will develop an international scientific network. You will supervise PhD students and postdoctoral researchers. Services You will play a role in the provision of both academic
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training programs available through VIB and UAntwerp to broaden your expertise and enhance your skillset A stimulating and international research environment A strong and dynamic network of international
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Writing (1830-1860) . In this project you will investigate the complex entanglements of Jewish and working-class emancipation in 19th century literary writing. This research combines an archival search
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to announce a call for a joint postdoctoral researcher to study the complexity and heterogeneity of both mouse and human microglia in neurodevelopment and neurodegeneration. By using state of the art spectral