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are a possibility to strengthen the international network of the researcher. There will be a mix of participations: 1.) in ongoing activities where completion is relatively close, and 2.) in initiatives
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engineering software packages such as Matlab, CST, HFSS etc. are meritorious. Strong written and verbal communication skills in English What you will do Your major responsibility as a PhD student is to pursue
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, conducting applied research that combines theoretical and experimental investigations. The divisions host a graduate school with a broad national and international network in both academia and industry. About
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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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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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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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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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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