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the different organelles. Another approach is to use Monte Carlo simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between
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This PhD project focuses on advancing network security in the emerging Web3 ecosystem. As decentralized applications built on blockchain and distributed ledger technologies become more widespread
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promising strategy for achieving net-zero CO2 emissions involves substituting fossil-carbon with green hydrogen. Sweden is leading several initiatives to implement this transition. However, challenges persist
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network analysis, or other digital research methods. Excellent ability to communicate effectively in spoken and written English. Ability to work independently as well as actively contribute
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international research network. Access and training to state-of-the-art instrumentation will be provided. Eligibility To fulfil the general entry requirements for studies at third-cycle level, the applicant must
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and estimation Multi-agent planning and cooperation Communication-aware coordination strategies Learning-based control in networked systems Resilience and safety in multi-agent systems
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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, considering equality and inclusion aspects. The candidate will be affiliated with AgroDrive Academy, which links three PhD projects and serves as meeting place and support network for the three candidates. It
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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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an individual research project, you will be responsible for setting up and evaluating data analysis, implementing models and networks, define optimal scientific protocols, and write scientific articles and