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machine learning techniques Interest or experience in statistical modelling and analysis Interest in mathematics and natural science Experience with scientific publication and conducting research Experience
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data analysis and processing Interest in applying artificial intelligence and machine learning techniques Interest or experience in statistical modelling and analysis Interest in mathematics and natural
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video, or click here to open video) Job description This Ph.D. position is focused on machine learning in realistic settings referring to statistical and system characteristics such as reliability and
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at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications
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defence are eligible for appointment. Demonstrated experience in epidemiological modelling and infectious disease dynamics Experience working in interdisciplinary teams Proven skills in statistical analysis
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interdisciplinary teams Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages such as R, Python, etc. Familiarity with AI algorithms and machine learning
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Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages such as R, Python, etc. Familiarity with AI algorithms and machine learning Excellent
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statistical analysis of high-throughput sequencing data Candidates without a master’s degree have until 30 June 2024 to complete the final exam. Grade requirements: The norm is as follows: The average grade
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statistical analysis and mathematical modelling tools Excellent knowledge of programming languages such as R, Python, etc. Familiarity with AI algorithms and machine learning Excellent written and oral
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modelling and infectious disease dynamics Experience working in interdisciplinary teams Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages