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conferences (punctuation: 20) Item 03: Advanced knowledge of experimental data analysis in R, including mixed models (LMM and GLMM) and survival models (Cox) (punctuation: 15) Item 04: Previous experience in
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Appendix 1.1 - PUBLIC CALL FOR JOB VACANCY RESOLUTION OF THE MANAGING BOARD OF THE CANCER RESEARCH FOUNDATION OF THE UNIVERSITY OF SALAMANCA FOR STAFF RECRUITMENT Position offered: Ph Doctor Call
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compositions. Initially, supervised learning models such as random forests, gradient boosting, and neural networks will be used to predict composition outcomes based on both literature scrapping and in-house
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bring or send –for the interview- a certified copy of the degree and/or master, as well as the academic record showing the marks of all subjects studied. Specific Requirements Experience in molecular
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, organization of group seminars, and engagement in scientific activities of interest to the broader laboratory community. Where to apply E-mail rrhh@h12o.es Requirements Research FieldBiological sciencesEducation
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secondments: (i) Viva, Seville, Spain, mentor I. H. Rodriguez (4 months): Design of filtration systems and modules with energy-efficient models for conventional and catalytic membranes. (ii) Biosnar, Vaske
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Data integration and numerical modelling
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performance of molecular dynamics studies on molecular diffusion models in membranes. The research is oriented towards the study of the physicochemical behavior of new systems based on paramagnetic ions with
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the call for applications at the following link: Terms and conditions FPI 2025 If you would like further information, please send an email to oficina.doctorat@uvic.cat . Where to apply E-mail oficina.doctorat
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modeling in calculation processes and application of AI techniques for processing dense point clouds Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research