47 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" Fellowship scholarships in Norway
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. The corpus is being expanded and annotated as part of the LiTra project and will include 3,500-4,000 texts as well as a large amount of contextual data. Part of the corpus is available here. The project
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logging-while-drilling (LWD) measurements provide new information about geological details around the bit, resulting in continuous reassessment and possibly correcting the well trajectory. These adjustments
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neuroimaging data Experience with scientific programming (e.g., Python, MatLab, R or similar) Excellent written and oral communication skills in English. In addition, documented experience in one or more of the
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applicants are considered to have equal qualifications, female applicants will be given priority. Contact information More information on the position (and project description) can be obtained from Associate
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education. Research topic The PhD Fellow will be affiliated with the research project “Resuscitation data analysis”, which is a collaboration between researchers at Department of Mathematics and Physics and
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documentation that you consider relevant Applications are evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application shows clearly how your
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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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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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information More information on the position (and project description) can be obtained from Head of department Silje Haus-Reve, tel: +4751832782, e-mail: silje.haus-reve@uis.no or project leader Olga Gjerald
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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