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understanding how human-adapted viruses inhibit host innate anti-viral signaling systems using the poxvirus Molluscum Contagiosum Virus (MCV) as a model. It causes a common, long-duration infection with minimal
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have a postgraduate degree, ideally a doctoral degree, in a relevant field and experience in computer-based analyses and presentation of experimental data. The successful applicant would have a proven
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communication skills Commitment to mentoring graduate and undergraduate students Desirable (but not required): Experience with time-series QA datasets (e.g., Time-MQA, TSQA, MTBench) Background in signal processing
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– $75,000.00 Yearly Point of Contact Justina Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Master's Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data
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academics, visiting fellows, and librarians. In this role you will be fully integrated into the RAI community. Application process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk
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, T7 endonuclease assay, bacterial transformation and plasmid propagation, DNA cloning and point mutagenesis. Generation of CRISPR-Cas9-engineered models: Engineer cancer cells using the CRISPR-Cas9
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focus on the analysis and interpretation of transcriptomic data, including bulk, single-cell, and/or spatial RNA-seq to investigate gene regulation, cell fate, and developmental signalling. Fellows will
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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, if you have additional questions about the application process, please email ORISE.ARS.Plains@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should be
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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess