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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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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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/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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. •Experience with large-scale datasets and advanced statistical methods is beneficial, but not mandatory.•Excellent level of spoken and written English.•Work-permit for Spain, and willingness to relocate
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-on experience with next-generation sequencing (NGS), whole-genome/exome sequencing, or other genomic techniques. Use of statistical methods for association studies (e.g., GWAS, polygenic risk scores). Experience
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statistical analyses; R Studio experience is a plus. Experience in the development of open-access databases, datasets, websites, and/or other scientific resources. Mobility experience, defined in the 2005
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points; Proficiency in GIS (QGIS, GeoDa), Python, R, or other statistical tools (SPSS, SAS, MPLUS) → 20 points; Experience in interdisciplinary and collaborative research environments → 10 points
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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | 2 months ago
to be developed: Animal experimentation, advanced statistics, experience with R, Python, and/or Unix. LanguagesENGLISHLevelExcellent LanguagesSPANISHLevelExcellent Additional Information Benefits Type
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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