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The Mijakovic lab at Chalmers SysBio (Mijakovic Lab | Chalmers ) is recruiting a postdoctoral fellow who will contribute to AI-driven development of inhibitors for bacterial protein-tyrosine kinases
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2 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Biological sciences » Other Technology » Biotechnology Researcher Profile Recognised Researcher (R2) Application Deadline 15 May 2206 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job...
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The Mijakovic lab at Chalmers SysBio (Mijakovic Lab | Chalmers ) is recruiting a postdoctoral fellow who will contribute to our Casein Mission project, aiming to produce food-grade caseins in microbial hosts. Our interdisciplinary and international group offers a supportive, collaborative and...
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
bacterial drug responses and phenotypic heterogeneity at single-cell resolution. Our group integrates bacterial single-cell RNA-seq, long-read sequencing, functional genomics, microbiome models, and
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The Bikard lab at Institut Pasteur in Paris is seeking to hire postdoctoral researchers. We are investigating bacteria / bacteriophages interactions, and the genetic innovation that happens at this interface. This includes work on fascinating genetic systems such as CRISPR-Cas, other novel...
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the first instance Hours: Full Time (37.5 hours per week) About the role We are seeking to appoint two talented Postdoctoral Research Associates to undertake complementary projects investigating bacterial
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on bacterial heterogeneity, microbiome interactions, antibiotic response, and genome architecture. Our group develops and applies cutting-edge bacterial single-cell RNA-seq platforms, long-read sequencing, and
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Job Description Are you experienced in WGS data quality control and analysis from bacterial isolates? Do you have a strong interest in genomics and antimicrobial resistance (AMR)? The Research Group
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system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend transformer-based architectures to create a powerful tool for understanding and predicting
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free of adventitious agents (AAs) such as bacterial and fungal contaminants. Current AA detection methods require lengthy culture times and are not suitable for continuous manufacturing, where rapid