197 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at Nature Careers
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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, multiple transcriptomics and genomics approaches, single-cell sequencing, and histocytometry) Set up bioinformatics platforms and develop computational pipelines for the analysis of bulk and single-cell RNA
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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including CO2 and CH4. Responsibilities and qualifications Responsibilities: Engineer multiple enzyme properties using experimental and computational methods Set up high-throughput screening methods and
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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organisational skills and the ability to manage multiple parallel workstreams Excellent written and verbal communication skills, including the ability to collaborate across multidisciplinary teams A proactive
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ascertained deep phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in
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engineers – on average 10 people - led by Magdalena Calusinska, dedicated to advancing microbial biotechnology through multi-omics approaches, bioinformatics, and process optimization. As post-doctoral
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to prevent the onset of cancer. In parallel, our research is dedicated to advancing our understanding of bladder tumor evolution biology through the analysis of next-generation sequencing (NGS) data and the
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increasing independence over time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process