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to existing postgraduate students. Applicants must hold an offer of study at The University of Manchester before applying for this funding. RADMA's support is focused on the field of ‘R&D management' and we
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to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R) https://ibecbarcelona.eu/careers-at-ibec
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Matthew Jones, Prof R Lewis, Prof D Fletcher, Prof David Curtis Application Deadline: 07 November 2025 Details Are you enthusiastic about digital technology and motivated to build tangible change
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substantial experience in metabolomics data analysis. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or
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and the Réglement Grand-Ducal of the 11th January 2013 (FELASA or equivalent) will be a plus. • Experience on bioinformatic analyses (DNA-Seq, (sc)RNA-Seq, ChIP-Seq) and/or R programming skills will
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to learn) as you will interact with patients. You have experience with programming and data analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage
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to process data and/or answer quantitative research questions (e.g., but not limited to applications written in either R, Python, Julia, Go, Java, or C/C++). E3: Experience of scientific writing. E4: Proven
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the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation
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Experience in statistical analyses of ecological data Experience with programming in R or Python is an advantage Dependable, pro-active and self-motivated Flexible, adaptive and innovative We offer you
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. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or Python for scripting and data analysis, metabolite ID via