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You will supervise and support junior members of our team Your profile What you bring for this position: PhD degree in a relevant subject (e.g. bioinformatics/computational biology, genomics
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you bring for this position: PhD degree in a relevant subject (e.g. bioinformatics/computational biology, genomics or molecular/cancer/evolutionary biology) At least one first-author paper in a peer
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Associate to work at the UHealth campus in Miami, Fl. We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab. The successful candidate will work at the intersection
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will join a vibrant group of interdisciplinary scientists in eg bioinformatics, cell biology, physiology and genomics. Project focus The postdoctoral researcher will lead experimental and/or
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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, ATAC-seq, DNA methylation, CUT&RUN). Collaborate effectively within interdisciplinary teams, including clinical and bioinformatics partners. Prepare manuscripts for publication and contribute to grant
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iPSC culture and differentiation preferred Familiarity with single-cell RNA sequencing and bioinformatic analysis is an advantage Strong publication record in relevant areas is desirable Excellent
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pandemic risk policy and practice. The PDRA will drive a research project within the centre focussed on the application of machine learning and bioinformatics approaches to the prediction of pandemic risks
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are looking for a motivated postdoc with solid experience in bioinformatics and in machine learning. The position centers on SRPs and LLPS, and the successful candidate will contribute to several ongoing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
cytometry, in vivo tumor studies, as well as a familiarity with performing single-cell applications including scRNAseq and scATACseq. Experience in the bioinformatic analysis of these single cell-based