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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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statistical, bioinformatics, and AI/ML-based analyses to interpret relationships between datasets, health, and disease. Software evaluation: Evaluate and implement tools and software for data analysis
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existing or new projects in understanding host immunity to tuberculosis or other pathogens Bioinformatics and computational modeling The technician will be responsible for maintaining detailed digital
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Summary To perform scientific research, specifically research activities related to X-ray crystallography and bioinformatic analysis of proteins and to report results ready for publication and/or use
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. The position requires both molecular biology skills and bioinformatics expertise. Organizational Status Reports to the Principal Investigator and is supervised by senior researchers in the lab. Communicates
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computer science, bioinformatics, biomedical engineering, electrical engineering or similar, obtained within the last 5 years by the time of the appointment start date. Outstanding publication record in top journals
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techniques are considered an asset. Experience with bioinformatics approaches to biological data and familiarity with the handling of genomics and next-generation sequencing data will be an advantage
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Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models
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and project partners Prepares presentations, abstracts, manuscripts, and reports in collaboration with the research team. Candidates must have a Ph.D. in medical physics, chemistry, bioinformatics
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for performing advanced molecular biology techniques including nucleic acid extraction, PCR, and next-generation sequencing (NGS). The role requires a working knowledge of bioinformatics for data analysis