229 parallel-processing-bioinformatics-"https:" Postdoctoral positions at Nature Careers
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
support. Your Profile: You have an MSc or PhD degree in microbiology, molecular biology, biochemistry, chemistry, bioinformatics, or a related field. You are curious, highly self-motivated and enthusiastic
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bioinformatic analyses and/or animal work. Applicants must possess a Ph.D. or M.D. Ph.D. in molecular biology, biochemistry or a related field and should have no more than two years of post-doctoral experience
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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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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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methane concentrations Bioelectrochemical systems Sensitive oxygen measurement methods, including electrochemical microsensors and optodes Transcriptomic sequencing and bioinformatic analysis
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biological, biochemical as well as -omics and bioinformatics techniques Optimize and apply ribosome profiling and single-cell ribosome profiling on organoids and clinical samples Characterize the impact of gut
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Experience with at least two of the following: flow cytometry, microscopy, NGS techniques and analysis, CRISPR-based epigenetic or genome editing Interest and ideally hands-on experience in bioinformatics
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bioinformatics scientists). Your future tasks: Active participation in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of single cell
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Professor Divi Cornec (head of the institute). Candidate profile and skills Applicants must hold a PhD with a solid background and a proven track record in bioinformatics and immunology. They should have
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in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling, quality control, data processing) Strong track record as evidenced by one