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of international collaborators. As a member of the lab, you will join an international and dynamic team of experimental and computational biologists, and gain access to additional training and networking
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theories coupled to dynamical fermion matter using two-dimensional tensor network methods. This work builds on our ongoing, long-term research program centered on discrete gauge theories—an area that has
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and plant biology, engaging in interdisciplinary research. Network at international conferences and meetings and with an extended network of collaborators. Why Join Us? Impactful research: Contribute
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data. For this, the applicant will generate in silico datasets from diverse computational models of development, such as models of tooth development and gene regulatory networks. They will leverage
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learning problems involving a-priori known symmetries. A simple example are convolutional neural networks, that are known to be invariant towards translations. Using representation theory, one can build
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coast and in offshore areas. The position will also include further development of ongoing data analyses within the national data collection program (DCF), which plays a key role in improving our
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, research and teaching are conducted in computer science, computer engineering, and informatics. We have two expanding departments in these areas, with around 50 employees. Your placement will be in
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provides excellent access to research infrastructure, including databases, computational facilities and instrumentation, as well as to clinical materials and networks and training activities. The four
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, computational facilities and instrumentation, as well as to clinical materials and networks and training activities. The four laboratories of the partnership adhere to the EMBL model for research organisation
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, computational facilities and instrumentation, as well as to clinical materials and networks and training activities. The four laboratories of the partnership adhere to the EMBL model for research organisation