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. Responsibilities The fellow will play a collaborative and leadership role in project design, study implementation, analysis, survey construction, data collection, data analyses, preparation of publications and
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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, analytical characterization, and formulation development. Proactively seek out new information in the literature and incorporate this into individual project(s) as well as the overall program. Publish findings
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engineering or a related discipline. Strong analytical, problem-solving, communication, and teamworking skills, along with experience in computational modelling are essential for the role. What we offer: - A
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peer-reviewed literature An interest in global change ecology, macroecology, biogeography, or conservation biology Strong computational and analytical programming skills A good knowledge of advanced
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equivalent qualifications/experience High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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specialism and normally, a higher degree relevant to research area or equivalent qualifications/experience High level analytical capability Ability to communicate complex information clearly Fluency in
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microscopy experiments, analyzing and presenting data locally and internationally, writing manuscripts, and occasionally mentoring junior lab members. Education / Experience Education: - Must hold a PhD
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry