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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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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep
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knowledge. A strong background in data analysis and presentation of results, as well as good communication and organizational skills will also be required. We are looking for a highly motivated individual
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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assessment (LCA) and life-cycle cost analysis (LCCA) of novel materials to evaluate their environmental and economic impacts; Support in experimental design, data collection and analysis, and dissemination
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cell culture, CRISPR/Cas9 based genome editing, protein expression and interaction analysis, light microscopy and cancer assays. A solid background in data analysis, bioinformatics and presentation
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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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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
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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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Information Website for additional job details https://usv.ro/resurse/angajari/posturi-cercetare-si-proiecte/posturi-cercetare… Work Location(s) Number of offers available1Company/InstituteStefan cel Mare