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expected to be in the process of completing or have recently completed a PhD degree with research experience in cancer biology, bioinformatics, biochemistry, biophysics, or immunology. Experience/Skills
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, and related bioinformatics and statistical analysis techniques. How to Apply: Send your CV, research statements and name/contact information for three references to attila.losonczy@gmail.com. Review
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Computational Biology, Bioinformatics, Computer Science or Machine Learning related field Demonstrated proficiency with Python, and machine learning libraries; pytorch, sklearn Experience with transformer
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molecular and functional assays on cell lines, primary cells and iPSC-derived cells. Work closely with NGS and bioinformatics scientists to process genomic samples, analyze screening results, and generate
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generating microbial expression libraries, DNA assembly, bioinformatics, and handling microbial cultures. Demonstrated ability to work independently and as part of a team. Demonstrated ability to successfully
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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designing and generating microbial expression libraries, DNA assembly, bioinformatics, and handling microbial cultures. Demonstrated ability to work independently and as part of a team. Demonstrated ability
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analysis pipelines and software tools as a key aspect of this role. Stay updated on the latest advancements in bioinformatics and genomics research and present findings to internal teams and external
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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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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt