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• Experience with bioinformatics • Familiarity with high-throughput sequencing data and genome analysis. • Excellent written and spoken English skills, see requirements: https://www.mn.uio.no/english
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and research methods. The appointment is for a fixed, non-tenured term of 4 years, and has a 25% teaching component. The Department teaches in all the sub-fields mentioned above. The successful
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methods for integrating heterogeneous data sources—such as climate, environmental, and health surveillance data—into interpretable spatiotemporal risk models. A key methodological component could be the use
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scientific instrumentation (Temporal Analysis of Products) and experimental protocols for kinetic investigations in heterogeneous catalysis. Specific work tasks will include: Integrating various commercial and
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and some familiarity with the preparation of tissue sections Experience working with tissue sections or organoid samples for bio-imaging applications Familiarity with image analysis tools such as MATLAB
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Act, i.e. preferably being a citizen of Norway, EU, or NATO countries. Pedagogical qualifications and teaching and supervision experience at all levels will be an important factor in the evaluation
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the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. Applicants must document knowledge of a programming language for data analysis such as Python
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at the University of Oslo. The main goal is to develop tools and knowledge for precision medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging
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on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe brain
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine