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: Minimum Qualifications: PhD in epidemiology or a related field . Desired Qualifications: Familiarity with programing language (Stata/R/SAS.); experience in veterinary epidemiology, qualitative research
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healthcare-related field. Expertise in scale development and validation and/or user-centered design, usability testing, and qualitative interviewing methods. Experience with R, SPSS, qualitative data analysis
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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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, Proteomics, Spatial Transcriptomics) and/or R programming skills will be a plus. Experience supervising students will be a plus. Skills: Curiosity, rigor, perseverance, creativity, excellent time management
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statistical software (R, Python, SAS, or similar); English proficiency for reading, writing, and presenting; full-time residence in Piracicaba. Desirable requirements Experience with large datasets and metadata
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-effectiveness of strategies for preventing long-term central venous catheter-related infections in oncology services. Responsibilities include data analysis using Python and R, health economic evaluations
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experience in, a programming language such as R or STATA. You should also possess a keen interest in vaccine development, human immunology and malaria. Applications for this vacancy should be made online and
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Python and/or R. Demonstrated experience in the analysis of large imaging and/or omics datasets. Strong interest in laboratory automation and in making experiments scalable, traceable and reproducible
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Small Organic Molecules, T. Mori, 2020, Springer; [2] E. M. Sánchez-Carnerero, A. R. Agarrabeitia, F. Moreno, B. L. Maroto, G. Muller, M. J. Ortiz and S. de la Moya, Chem. Eur. J. 2015, 21, 13488; G