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every year since 2016 according to the Global Destination Sustainability Index. The four research divisions at our department are essential scientific facilitators in a vibrant ecosystem of software
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the department form a diverse group with different nationalities, backgrounds, and fields. If you work as a doctoral student with us you will receive the benefits of support in career development, networking
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aging. The research will involve advanced neuroimaging techniques, neuropsychological assessments, and collaboration with international research networks to expand our understanding of the impact of DEX
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and a multidisciplinary research institute in the broadly defined field of environmental medicine. IMM also acts as a scientific advisor to authorities in the field of environmental medicine, and IMM
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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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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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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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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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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