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for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD
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panel of these proteins reflected future CVD risk, as determined by a clinical risk score. In this project, we will analyse a replication cohort, to verify the associations identified in the original
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for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD
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cohort, to verify the associations identified in the original analysis. Relationships between biomarker levels and existing risk scores, and future CVD development will be investigated. Interesting
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therefore needs to be delicately balanced between tolerance to food and activation towards unwanted intruders. The common belief is that our intestines are the main drivers of building tolerance towards
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to be delicately balanced between tolerance to food and activation towards unwanted intruders. The common belief is that our intestines are the main drivers of building tolerance towards ingested
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and a strong documented background in mathematics is needed. Special emphasis will be given to candidates with prior experience in the above-mentioned topics. This position requires a Norwegian master's
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documented background in mathematics is needed. Special emphasis will be given to candidates with prior experience in the above-mentioned topics. This position requires a Norwegian master's degree in physics
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programs, as well as interests in programming languages design principles. Qualification requirements We are looking for applicants with a strong academic background who have completed a five-year master
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financed by the RCN (Research Council of Norway) funded project “RELAY: Relational Deep Learning for Energy Analytics ”. The main focus of the research will be to advance the state-of-the-art of machine