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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 1 month ago
different sources, organize and analyze them using appropriate statistical or computer tools. - Attendance at meetings of the European Consortium, management and preparation of documents. - Collaboration in
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representative samples of citizens of four European countries within the interdisciplinary project (N=6,000 total). The successful applicant will conduct statistical research based on these data (a) analyzing how
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screens, statistical genetics, and the integration of genetic and regulatory data. This multidisciplinary approach gives us unique opportunities to engage in collaborative projects that combine experimental
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) or other related discipline 2. Statistical skills (R and/or Python) 3. English – C1 4. Spanish and/or Catalan and/or Basque and/or another language – B2 (desired) 5. Previous design and/or analysis
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/Qualifications Expertise in advanced statistical techniques, particularly in spatial modeling. Knowledge of spatial ecology and experience in modelling species’ habitats. Strong foundation in statistics
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. SKILLS Experience in implementing or conducting research in LMIC Experience in processing and managing of complex and large datasets, as well as in statistical packages, preferably R and STATA Motivated
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technologies (e.g., remote sensing, UAVs, multispectral imaging). Develop and implement statistical models and machine learning techniques to quantify ecosystem services provided by legumes. Contribute
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interventions; • Excellent methodological skills in social science research design, with particular emphasis on at least one of these: (i) advanced statistical modelling, (ii) computational methodologies (e.g
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statistical protocols for future analyses in several cohorts Integrate data driven complex statistical tools to neuroepidemiology. LABOUR CONDITIONS Part-time position (80%) Workplace: Hospital Universitari
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in statistical analysis. -Sound computational skills with advanced user level of the Office package (Word, Excel, Power Point, etc.) and data analysis software (SAS, R, Xlstat, JMP, other). -Full