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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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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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to the Internet and include protection of software, data, and hardware. Project description Our project is targeting cybersecurity threat prediction using eXplainable AI. You will work with colleagues in our
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in
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diverse community of individuals from a wide range of nationalities. As a PhD student with us, you benefit from comprehensive career development support, opportunities for networking, and access to robust
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Join us for an exciting and excellent PhD journey to create the future of maintenance! Explore the fascinating future of Net Zero industries where complex and highly automated equipment need
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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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thesis project will focus on drug resistance mechanisms in microbiome species, and is part of a European MSCA Doctoral Network (https://endamr.eu/ ). The position is for four years of doctoral studies
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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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and industry-focused nature of the project Analytical problem-solving skills and a genuine interest in research Ability to disseminate results and engage with academic, industrial, and societal networks