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-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer Science or equivalent education (with a focus on interaction design, HCI, wearable computing
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optimization. knowledge of data analysis, including statistics, and machine learning techniques. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: and willingly
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% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before
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Applied ecology PhD: Large carnivores in Scandinavia from individual movement to population dynamics
) in Scandinavia. You will develop and apply integrated models combining spatial capture-recapture and GPS data, working with a diverse team of ecologists, statisticians, and computer scientists from
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the boundaries of engineering with ever larger machines designed to operate autonomously in harsh conditions. As the turbines and floating platforms increase in size, combined with the push to reduce the material
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period is 3 years. If learning Norwegian, level A2 (corresponding to at least 15 credits) is to be completed before the end of the employment period. The employment period can be extended by 10 weeks after
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analysis, including statistics, and machine learning techniques Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: and willingly conduct research in a
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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