2,233 data-"https:"-"https:"-"https:"-"https:"-"New-York-University" Postdoctoral positions
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working on clinical trials, as well as contributing to the development of data-driven interventions and stewardship models to enhance patient outcomes after surgery. This position is an opportunity to work
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are seeking a highly motivated Postdoctoral Fellow to join our research team on a major data linkage project. This role will involve leading the project from inception to dissemination, including ethics
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data
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underlying greenhouse gas fluxes Support training of young researchers in using biogeochemical observations and data analysis Write and contribute to international peer-reviewed publications Contribute
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scientific journals Research experience in some of the areas of fungal transformation, CRISP/Cas9 modification of fungal genes, analysis of metabarcoding data, and soil microbiology. Additional qualifications
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departments. Contact information For further information, please contact: Dr., Peter Zeller, peter.zeller@mbg.au.dk Deadline Applications must be received no later than 23 February 2026. Application procedure
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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Job Description We at the Hearing Systems Section are offering a postdoctoral research position in auditory science, motion behaviour, data analysis, and/or human communication. You will contribute
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transduction, or protein-protein interaction. Computer skills in data and statistical analyses are required. A proven record of productivity as demonstrated by recent first author publications in leading peer
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role