145 parallel-processing-bioinformatics Fellowship research jobs at University of Oslo
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programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical analysis and data processing using relevant statistical software. Experience
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, survey, or population data, particularly in the areas of health, mortality, life-course processes, or demographic change. Familiarity with advanced quantitative methods, such as causal inference techniques
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive
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evaluation of candidates will begin immediately. We expect the whole evaluation process, from the application date to an offer being made, to take 6 to 12 weeks, depending on the number of applications
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energy conversion technologies such as proton ceramic fuel cells and electrolysers. These technologies are central in the transition to renewable energy and in the electrification of industrial processes
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their preference in the cover letter. All applications will be reviewed in a joint selection process, taking into account the stated preferences of each candidate. The available positions are dedicated
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to enhance and control the caloric cooling performance. Relevant tasks may be a combination of: Synthesis and processing of functional oxides using solid-state methods and hydrothermal synthesis
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have or are open to, developing communication skills across various research disciplines You have the capacity to conduct empirical research and are resilient to cope with setbacks in the process You are
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and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and
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to take initiative Flexibility, ability to handle pressure and meet deadlines Enjoy the process of scientific communication and writing The candidate should be highly self-driven and able to take