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Medical Birth Registry of Norway and the Cancer Registry of Norway and apply machine learning methods and causal inference methodology (e.g., sibling designs and instrumental variable analyses) to identify
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on genotyped clinical and population samples with registry data. The research will involve statistical genetics bioinformatics machine learning and Bayesian data analysis molecular genetics novel bio-statistical
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and enablers to effective collaboration develop and apply quantitative methodologies (e.g., machine learning, neural activity modeling, decision analysis) to create decision-support tools and adaptive
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is deducted from the salary. The employment period is 3 or 4 years. A possible 4th year is pending to needs for duty work. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be
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Safety (RAMS) or Cybernetics or Computer Science with a focus on Artificial Intelligence/Machine Learning your education must correspond to a five-year Norwegian degree program, where 120 credits
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for Energy Technology, IFE). Duties of the position Carry out research of high quality within the scope described above. Develop mathematical models and computer code for optimization and simulation of energy
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projects in the laboratory as well. The proposed project is intended for an MSc-level person who wishes to acquire PhD degree. PhD Trainees in my laboratory typically graduate within 3-4 years, and I put