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Università degli Studi di NApoli Federico II -Dipartimento di Medicina Molecolare e BiotecnologieMediche | Italy | 3 months 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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data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences. Applicants must hold a Ph.D. in Engineering, Computer
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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Posting Details Position Information Job Title Medical Research Scientist Position Number 500298 Vacancy Open to All Candidates Department EHH BSOM Biochem and Molecular Department Homepage https
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Biochemistry (IPB, https://www.ipb-halle.de/en/ ) the following position is to be filled ideally on October 1st, 2027: Full Professor (Chair, W3) of Chemistry of Natural Products and Bioactives und Director at
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of proteomics workflows. Contribute to the development of tools for targeted protein degradation in mycobacteria. Analyse and interpret data, maintain accurate laboratory records and present findings within
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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | 12 days ago
neuromuscular diseases and DM1 in particular. Specifically, the team is made up of specialists in genomics, epigenetics, bioinformatics, biostatistics, proteomics, applied research and scientific dissemination
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=27222 PhD Student – Computational Multi-Omics for Precision Oncology (m/f/d) Stellenanzeige merken
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-generation sequencing and/or proteomics technologies to support the research group. 5. To provide professional advice and training in data analysis for researchers. 6. To participate in external research
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on when they are applied. This project aims to systematically identify conserved patterns that explain this temporal dependency. We will analyse RNAseq and proteomics datasets from Drosophila melanogaster