145 parallel-processing-bioinformatics Fellowship research jobs at University of Oslo
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regarding their ability to complete the proposed project within the specified timeframe. Applicants who progress through the selection process will be invited to interview for the position, either in person
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governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and account for
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. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
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if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. Your research focus will be
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the final exam. Desired qualifications: Background in probability theory and Monte Carlo methods, and familiarity with stochastic processes. Strong background in hydrodynamic, nonlinear and stochastic wave
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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qualifications: Strong background in planetary geophysics and impact processes Working knowledge of modern theories of terrestrial planet formation All candidates and projects will have to undergo a check versus
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process will include an interview. Applicants must have a master's degree/second-level degree in sociology or equivalent. Applicants are expected to demonstrate through their application letter and project
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on genotype-to-phenotype mappings considering motion and fabrication constraints. Integrate autonomy stacks (perception, learning, planning) in the co-design process and run experiments across classes
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. Applicants who progress through the selection process will be invited to interview for the position, either in person or via electronic means. Applicants are assessed by an assessment committee that ranks them