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24th November 2025 Languages English English English Kavli Institute for Systems Neuroscience has a vacancy for a PhD combining optical imaging with 3D tracking to map neural coding of body posture
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the title of PhD Research Scholar. The Department of Business and Management Science is responsible for a specialisation in the NHH PhD programme. The specialisation has two tracks: Business Economics
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comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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inference methods, survey design, and/or machine learning Experience with web scraping and API-based data collection Organizational and coordination skills, such as assisting in drafting terms of reference
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English. We can offer For the right candidate we offer unique development opportunities and mentorship as part of your role in a strong professional environment with a track record of excellence in fluid
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engineering, have at least two years of relevant research experience as a research fellow or similar, and have a strong track record in scientific publication and dissemination. Successful applicants must have
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) inscriptions. A track record of relevant academic publications. Fluent oral and written communication skills in Norwegian and English. Preferred selection criteria Documented language historical competence Good
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/selectivity, and determine structures to resolve active-site architecture. Spectroscopy & intermediates. Apply UV–Vis and EPR (including stopped-flow when needed) to track metal coordination, redox states, and
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. Both a strong academic track record and a genuine interest in conducting research are essential to qualify for the position. The candidates Master’s thesis, academic track record, and other application