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(certificates should be submitted in English) and contact details of at least two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Thursday, 22nd January 2026. Late
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CRISPR screening, single-cell transcriptomics, proteomics, metabolomics, and network reconstruction. Former trainees of the Chi lab have been principal investigators in multiple academic institutions
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handling and culturing, surgical implantation of brain cancer, cryo-electron microscopy, transcriptome, proteome, single cell sequencing and bioinformatics, iPSC derived cells, tissue organoids and/or tissue
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, transcriptomics, proteomics, molecular biology, and synthetic biology. Key Responsibilities Analyze and interpret multi-omics data to identify stress adaptation targets. Design and execute molecular biology and
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for embryo selection. Objectives Our 2 main objectives are: 1/ improve media formulation to improve developmental speed of all embryos 2/ perform proteomics analysis of human embryos and spent culture
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data/open science, life sciences data systems, and analysis of various kinds of ‘omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.). Values & Abilities: We expect ML Performance
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offer state-of-the art instrumentation and expertise in the fields of flow cytometry, electron and photonic microscopy, proteomics. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7592
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Responsibilities Salary Range: $80,000 – $100,000 Benefits Information: https://www.luc.edu/hr/benefits/ We are seeking a highly motivated data scientist to join our group, which has been supported by federal funds
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Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Sivyer Laboratory, led by Assoc. Prof. Benjamin Sivyer, which focuses on understanding physiological and
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ESS service lines of business, including but not limited to proteomics, metabolomics, transcriptomics and genomics. Contribute to continuous improvement of laboratory capabilities supporting