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Field
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, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD students, researchers and practitioners in the field. It thus provides added value
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education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Read more about us here: https://liu.se/en/organisation/liu/isy/ks . For more
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, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD candidates, researchers and
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numerical modelling of natural clays at both laboratory and field scale. We are active members of the ALERT Geomaterials network and other international committees. Our diverse and international team of over
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an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between
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Networks. The project encompasses several challenges in the gene regulatory network (GRN) field, from simulating realistic networks and data to accurate inference of GRNs from noisy gene expression data
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team player, which is especially vital since the curernt project will interact cloesly with adjacent disciplines. You are able to disseminate results and knowledge within existing and new networks
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simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between compartments. A third possibility is to simulate the evolutionary
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and numerical modelling of natural clays at both laboratory and field scale. We are active members of the ALERT Geomaterials network and other international committees. Our diverse and international
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, research visits, and other activities to promote a strong multidisciplinary and international network between PhD students, postdocs, researchers, and industry. Who we are looking for The following