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Field
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in the μ-opioid receptor. The PhD candidate will: • generate high-resolution models of wild-type and R181C mutant μ-opioid receptor based on existing crystallographic data and perform molecular
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framework • Support capacity-building efforts for local field teams and partners in evaluation design and data collection Requirements • Master’s degree or PhD in Public health, Epidemiology, Data Science
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these disciplines. Analytical Proficiency: Demonstrate proficiency in biostatistical analysis, data management, and physicochemical analytical methods, with a preference for candidates who have experience in
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clinical ethics support. Strong analytical and academic writing skills; scientific and moral/philosophical curiosity. Fluent spoken and written English. Admission requirements for the PhD program at
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of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations
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to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will be checked against national export controls, sanctions, and security
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PDF format: • Cover letter • Curriculum vitae • Writing sample • Contact information for two references to Dr. HsingChi von Bergmann by February 20, 2026. For any questions related to the nature
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focused on the integration of non-conventional geothermal energy (EGS/AGS) into data centre cooling systems in Singapore, including geothermal-assisted cooling architectures, absorption chilling, heat pumps
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patterns and anomalies beyond human or rule-based detection. By drawing on the Information Systems perspective, this PhD project may address one or several interconnected themes related to advancing AI
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, environmental, and registry-based data to investigate resilience and risk factors for Alzheimer’s disease and related dementias. Develop, adapt, and implement statistical and analytical methods tailored