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Field
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owned and staffed by migrant women, primarily from Eastern Europe (e.g. Ukraine, Belarus, Russia) and Southeast Asia (e.g. Thailand and Vietnam). The project combines participant observations and
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-oriented approach to tracking file completion and issues/errors that arise Manage data within participant file and, ultimately, across files as files are combined for data analysis Participate in a weekly
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of mass spectrometry vendor software, interpretation and troubleshooting of quantitative analytical results, presentation of results in oral and written for ms, supervision, or an equivalent combination
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situated in one or combining several mentioned key areas Contribute to ongoing research projects in the social sciences Assist in organising academic events (e.g. in the context of the SocioLab) and outreach
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combination of education and work experience. (Please review the Equivalency Chart for additional information.) Strong analytical and problem-solving skills. Proficiency in programming and instrumentation
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+ Clinical Lecturer for a preparatory ‘run-in’ period of up to 12 months before beginning the 3-year PhD project, when clinical training (80%) is combined with protected research time (20%) for selecting
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accepted). Unofficial transcripts are acceptable for job application purposes. Please note that our recruitment system allows max 5 attachments, so please combine the copies of certificates and transcripts
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allows max 5 attachments, so please combine the copies of certificates and transcripts in one PDF, if necessary. ADDITIONAL INFORMATION For further information about the application or the position, please
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to interfere with critical applications that rely on the internet. CRNA was established to address these problems. We combine world-class theoretical and empirical research on the robustness and security of ICT
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analysis using StarCCM+/OpenFoam, conduct the experimental test using our cavitation tunnel, the combined wind, wave and current tank and the research vessel, and develop a novel maritime system for clean