149 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Fellowship positions in Norway
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- University of Oslo
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- NTNU - Norwegian University of Science and Technology
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- University of Agder
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
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this is required publications or other relevant research work Applications are evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application
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the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here . We hope
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immunoprecipitation. Experience in bioinformatics such as sequence data analysis (RNAseq, ChIP-seq) Personal skills Enthusiasm and motivation for lab work Perseverance and problem-solving abilities Organization skills
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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 for the master's thesis or equivalent thesis CV
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workplace in continuous development Flexible working hours Active university sports teams General information The person who is appointed must abide by the applicable laws, agreements, and directives
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that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here . We hope you will apply for the position with us. How to apply
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for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here . We hope you will apply for the position with us
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documentation on competence in English if this is required publications or other relevant research work Applications are evaluated based on the information available in Jobbnorge at the application deadline. You
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solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we