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empowering our people to fulfil their personal and professional ambitions · Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid
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PhD1: A MSc degree in Artificial Intelligence, Data Science or Computer Science; good engineering skills; affinity with AI. Experience in NLP/IR is a plus. Experience in conducting research is also a
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The Department of Communication and Culture at BI Norwegian Business School is currently inviting applications for multiple four-year doctoral scholarships, set to commence in August 2026
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manufacturability studies. Your Profile: We are looking for an enthusiastic and highly motivated candidate with: A Master’s degree in Mechanical Engineering, Computational Mechanics, Applied Physics, or a related
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for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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writing scholarly manuscripts. Duties for this position will include: 60%: General Laboratory Support Conduct basic molecular biology research, which includes but is not limited to cell culture and multiple
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of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe
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of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How