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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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outstanding opportunities for continued scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial
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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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invites applications for a postdoctoral position in terrestrial ecosystem dynamics in the laboratory of Professor Paul Moorcroft http://www.oeb.harvard.edu/faculty/moorcroft/ . The successful candidate will
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applicants for a postdoctoral fellow position in the Laboratory of Systems Pharmacology (LSP; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in Boston
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transcription machinery, and mRNA processing enzymes and their interactions with RNApII. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich