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Università degli Studi di NApoli Federico II -Dipartimento di Medicina Molecolare e BiotecnologieMediche | Italy | 6 days ago
three-dimensional cultures and patient-derived organoids, and the analysis of data derived from “omics” techniques (such as RNA-seq, RIBO-seq, and proteomics). Where to apply Website https
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responsibilities, with the possibility of extension. The scientific component of the position focuses on the bioinformatics analysis of next-generation sequencing (NGS) and single-cell multi-omics data in
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the analysis of linked health registries though the development, implementation and application of methods for causal inference in time-to-event outcomes. For more information and how to apply: https
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information. Support the analysis of current ‘as-is’ business services and processes. Take part in meetings with stakeholders and assist in presenting issues and gathering requirements. Produce business
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of Research ExperienceNone Research FieldPsychological sciences » PsychologyYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant
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) • Letter of intent. We recommend the prior analysis of the CIB activity by going through the information contained on the website www.biodyn.ro as well as the presentations given at the International
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Laboratory Technology Proficiency in English Experience in handling pathogenic fungi, such as Candida albicans Additional Information Website for additional job details https://www.ucm.es/personal-contratado
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-of-cellular-metabolism/ The position is for you if: …you have strong data analysis skills and enjoy working with large, complex datasets (e.g., single-cell, spatial, imaging-based or other omics data) …you have
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, serous tubal intraepithelial carcinoma, in human patients. Additional information on this topic can be found at Kader, Santagata et al (2025) https://doi.org/10.1158/2159-8290.cd-24-1366 . In
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii