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rapporteringsformål. Personvernregler for databehandling: Piwik Pro - Personvernregler for databehandling Utløpsdato: 30 minutter Navn: _pk_sesxxx Leverandør: www.jobbnorge.no Databehandlingsansvarlig: HAProxy software
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analysis. Experience with software development. Experience with Nextflow or Snakemake Language requirement Excellent communication skills in English, both written and oral English requirements for applicants
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professional network Communication skills in Norwegian or another Scandinavian language, both written and spoken If you cannot document skills in Norwegian, Swedish or Danish at level A2 upon employment
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for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage Personal and relational qualities will be emphasized. Research experience
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will be considered an advantage. A demonstrated interest in and talent for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage
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-informedness. The postdoctoral researcher will build skills and knowledge in all these sectors as part of a strong team, a strong network, and with help of summer schools or other academic training programs
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. The PhD fellow will be part of the research group Indigenous Religion(s): Local Grounds, Global Networks (INREL). The fellow will contribute to a broader research initiative on religion, art, activism, and
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one of the following: biofilm assays, CT analytical software or surface characterisation (e.g. SEM, profilometry). Documented experience from dental clinical work and periodontal surgeries Strong
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to metocean statistics and development of software packages related to the generation of said statistics. This work amounts to 25% (one year) of the total project period and allows the PhD project to run over a
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis