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environments for statistical analysis (e.g., MATLAB, R, or Stata); · Creating and managing very large datasets; · Machine learning skills. Basic Qualifications A Ph.D. in any business discipline
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analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an interest in pursuing a PhD in economics or related fields (e.g., public policy) An ability to work
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Pharmaceutical Sciences or Biotechnology areas or enrollment/attendance of a non-degree course taught by a higher education institution in conjunction with an R&D unit; - Proven competences in the production and
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Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham/2025/research-fellow-… Requirements Research FieldAnthropologyYears of Research Experience4 - 10 Research
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taught by a higher education institution in conjunction with an R&D unit in Sustainable Chemistry or related areas. Experience in characterization of innovative and emerging ingredients. In case the Master
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enrolled and/or attending a non-degree course taught by a higher education institution in collaboration with an R&D unit. Proven experience, evidenced by scientific/academic publications and/or conference
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of high-efficiency, compact, and reliable solutions. Candidates with relevant R&D work experience will be considered. The project supervisor will provide on-the-job training on simulation tools. Key
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at 11.00pm AEST (Job Reference Number: R-56320).
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statistical packages, especially R and SPSS Good statistical knowledge and skills Good IT skills (i.e., Microsoft Office®) Strong ability to work within a multidisciplinary team Strong interpersonal, written
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but not required: expertise in bioinformatics for scRNA-seq data analysis (e.g., Seurat, Cell Ranger, R/Python). Send a letter of interest, current curriculum vitae, and names and contact information