80 parallel-processing-bioinformatics positions at Harvard University in Postdoctoral
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Details Title Postdoctoral Fellowship in Electrical and Computer Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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, and define data needs; track, curate, and upload raw and processed datasets to hubs and repositories as appropriate. · Follow relevant scientific literature to ensure use of optimal methods and
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell
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motivated and creative Postdoctoral Scientist to join our dynamic, cross-disciplinary team. This role focuses on understanding how the somatosensory system has evolved to detect, process, and relay
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that contribute to aging processes and resilience. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective
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processes. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab
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motivated and creative Postdoctoral Scientist to join our dynamic, cross-disciplinary team. This role focuses on understanding how the somatosensory system has evolved to detect, process, and relay
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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collections. The opening is for a postdoctoral fellow with expertise in one or more of the following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional