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21st September 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Human Building Interaction Apply for this job See advertisement This is
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institute, with expertise in a wide range of fields and strong communities of knowledge. We deliver research and innovation in energy, health care, climate, the environment, society and technology. Our
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for sustainability and innovation” reflected in all our activities. We offer more than 40 study programmes, from oneyear programmes to PhD-programmes within e.g. Health Sciences and Social Care, Informatics, Law and
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knowledge for sustainability and innovation” reflected in all our activities. We offer more than 40 study programmes, from oneyear programmes to PhD-programmes within e.g. Health Sciences and Social Care
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obtained an MSc or similar in data science, computer science, physics, applied mathematics, oceanography, meteorology, or a similar field. The applicant must satisfy the requirements for admission to the PhD
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or equivalent in statistics, mathematics, computer science or similar. In case of a foreign completed degree (M.Sc.-level), this must correspond to a minimum of four years in the Norwegian educational system
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ecosystems, threatening public health, food security, livelihoods and the achievement of key sustainable development goals. In Norway, these emerging contaminants are impacting freshwater and marine ecosystems
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the aforementioned areas, related to digitalisation, health-technology, information security, sustainability, environment etc. The academic environment and research groups connected to the programme, and the course
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, Library and Information Science) Social Work and Social Policy, SASP (Department of Social Work, Child Welfare and Social Policy) All PhD candidates must be affiliated with one of the four specialisations
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and