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modern ML architectures Experience with open-source software development and collaborative coding Familiarity with carbon markets Experience with Google Earth Engine Position Details Appointment: 1
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should have completed an MPH or an equivalent degree. The ideal candidate will have expertise in coding in R/RStudio, analysis of large data sets, prior experience with infectious disease modeling
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• Previous knowledge about nanopore experiments, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic
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the ability to work effectively with both academic colleagues and industry executives. Experience of AI or blockchain coding would be advantageous. This position offers an excellent opportunity to
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, and/or computer science Strong coding skills for the data sciences (R, python, etc) Excellent English writing and speaking skills Required Application Materials: CV Contact information for at least 2
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them for disease caused by coding variants. Please express interest by applying and submitting your CV and a personalized cover letter. Education Ph.D. required in a computational field (Data Science
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training or quantitative research experience. Training and experience in causal inference. Strong coding skills in R, Stata, or other statistical software package. Good communication skills in English
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, development of coding protocols, quality control of annotated datasets, statistical analysis, collaboration with the project's data specialist, publication of research findings, and participation in
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position is a combination of service and applied research and may include preparing confidential reports for funders, public research briefs and literature reviews, public coding syntax files, and peer
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participants. A second project will focus on identification of the role of novel host-dependency factors, particularly long non-coding RNAs (lncRNAs) in HIV -1 latency/persistence and investigate how