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developmental biology or related fields. Candidates will be expected to devote 30 hours per week to research. Research (95%) may involve laboratory work, computation, data analysis, participating in laboratory
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Postdoctoral Position (m/f/d) in Experimental Bio-Spectro-Electrochemistry at the University of Bonn
molecules, ideally metalloproteins; very good data analysis skills Please send applications as one PDF (motivation letter, CV, publication list, contacts to two referees) to J.-Prof. Dr. Patrycja Kielb
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multidisciplinary approaches, including advanced bio-imaging, image analysis, cell biology, genetics, and molecular biology. Find out more about our research group here: https://tymri.ut.ee/en/content/developmental
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immunoassay techniques (ELISA, NULISA, or related platforms)•Interest in RNA-seq and multi-omics data analysis; prior experience with bioinformatics is an advantage but not mandatory•Ability to critically
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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | 3 days ago
• Stem cell analysis in cancer • 2D and 2D complex in vitro cell and organoid cultures • Spatial and Liquid biopsy processing and analysis • Cell engineering • Bioinformatics and data analysis Where
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8 Jan 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1
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Information Benefits 1592 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https://secretaria.uvigo.gal/uv/web/convocatoria
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(e.g., peer-reviewed publications, preprints, or tool development), commensurate with career stage. Proven experience in evolutionary analysis of sequence data, including phylogenetic and phylodynamic
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course