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16 Jul 2026 Job Information Organisation/Company Università Politecnica delle Marche Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 4 Aug 2026 - 13:00...
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) write a review and collaborate in current research papers in the lab; (vi) query biological/bioinformatic databases for pharmacological data on ADs. Where to apply E-mail [email protected] Requirements
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at IRCCS Fondazione Casa Sollievo della Sofferenza. The successful candidate will contribute to bioinformatics analyses supporting translational and biomedical research activities. The starting salary is 25k
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: RNA extraction, RT-PCR, in situ hybridization, and gene expression alteration (silencing, knock-down, transfection).Bioinformatics & imaging: transcriptomic analysis of candidate genes and confocal
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(alternative splicing and DNA methylation) to refine the prognostic stratification of IDH-wildtype Glioblastoma. The activity includes: 1) In silico bioinformatics analysis on public datasets and data
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composition as a function of stress, agronomic techniques, or the use of microbial biosolutions. Bioinformatics knowledge is required for the analysis of NGS data and the development of microbial indicators
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bioinformatics and computational biochemistry, with particular emphasis on molecular dynamics simulations and the analysis of protein variants and/or polymorphisms associated with the onset of genetic diseases and
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(eDNA) samples aimed at species detection and distribution assessment; - Transfer of know-how and expertise in the bioinformatic analysis of eDNA data; - Support for project communication, scientific
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; Regenerative medicine; Bioinformatics and artificial intelligence for the improvement of the NHS; Telemedicine and proximity medicine; the promotion of strategies for active ageing; Healthcare liability and new
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The Pluskal lab at IOCB Prague combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches