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successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information.
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, pharmacoepidemiology methods development). You will have learning opportunities that include: Understanding of pharmacovigilance data analysis workflows; Full-stack web-based application development; Integration
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primary cell culture is desirable. Excellent oral and written communication skills with relevant computing and data analysis skills. Proven commitment to proactively keeping up to date with discipline
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that explore biological and behavioural factors influencing the onset, course, and response to treatment in young people with emerging mental disorders. Extensive collaborations with clinicians, data scientists
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept
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address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main advisor
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sector, particularly in the area of quantitative analysis. The responsibilities of the role will include designing and developing smart databases of various unstructured and non-traditional information
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simulations and develop control and data pipelines for acquisition, reconstruction, and visualization; provide measurement-driven feedback to the detector team; dissemination of results through publications
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data for research, behavioural science, implementation science/knowledge mobilisation, advanced evidence synthesis (network meta-analysis, individual participant data meta-analysis). We are seeking
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: Conduct field and laboratory activities relating to evolutionary genetics including, but not limited to, sampling, collecting trait data, and extracting nucleic acids from samples. Conduct data analysis