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Field
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should have excellent communication skills, a good command of the English language and be highly motivated to work in a multidisciplinary team. Preferably the candidate will have experience with human data
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DMIT professionals within each country in three areas: 1. the translation of information by government, municipality, and non-government organisations from written to signed languages found on websites
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read more about career paths at DTU here . Further information Further information may be obtained from Timothy Jenkins: tpaje@dtu.dk If you are applying from abroad, you may find useful information
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work closely with the PI on the analysis of grey literature reports, managing and proofing large datasets and compiling data. Applicants will preferably have a Postgraduate degree in Zooarchaeology and
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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, Data Analyst, Application Developer, etc.? no Will this role require driving of a university-owned motor vehicle (including golf cart and other utility vehicles)? no Will this role travel with Athletics
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techniques. Documents the work performed, maintains all databases that result from research output, and develops information for research papers. Consults with graduate students, other eDNA research staff, and
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Position Details Position Information Recruitment/Posting Title Temporary Research Assistant Job Category Staff & Executive - Research Support (Laboratory/Non-Laboratory) Department RWJ-Child Health
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research skills, an ability to work both independently and as part of a team, and an ability to prioritise tasks within agreed work schedules. Additional information Informal enquiries are welcome and should
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literature searches, knowledge mobilization and qualitative or quantitative research. Required: Current McGill Graduate student Fluent in English (written and spoken) Strong Qualitative or Quantitative data