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-based recruitment (OTM-R policy), in accordance with the requirements of the HRS4R seal established by European Commission.As such, it takes responsibility for ensuring gender equality based on the goals
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cognitive science, cognitive psychology, developmental psychology, or ethology is expected. Proficiency in a programming language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be
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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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nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship
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. The selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should
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the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where
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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