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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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direction from the assigned supervisor. Supervision Given None. Required Education Doctoral degree in Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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data in collaboration with bioinformatics experts to assess library quality and performance. vii. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and
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bioinformatics experts to assess library quality and performance. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and proposing experimental improvements. Support
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pollutants from wastewater. A solid foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is
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microbiome or bacterial-host bioinformatics is required. Proficiency in raw data processing, taxonomical annotation, and analyses of 16s rRNA datasets (ie DADA2, MaSalin2, Random forest analyses etc
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The responsibilities may include some but not all of the responsibilities outlined below. Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project
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loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You
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Australian National University | Canberra, Australian Capital Territory | Australia | about 3 hours ago
Australia's sovereign mRNA capability and international competitiveness by building scalable, high-impact bioinformatics pipelines that can support academic and commercial users of the platform. Key