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as evidence of ongoing CIN. This PhD will work at the leading edge of single-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We
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training support (€2,500 per year). Eligibility Criteria Essential • BA or MA/MSc in relevant discipline/s for the call (e.g., sociology, population sciences, psychology, computational social sciences; HCI
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. The project will require design of experiment and performing statistical analysis to optimize conditions. The researcher will summarize data in tables and figures and prepare a report. Responsibilities Design
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-source releases and publications Who we’re looking for Required MSc (or equivalent) in molecular biology, bioinformatics, computational biology, statistics, computer science, or similar Solid programming
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field. Related links Computer Science course descriptions can be found at: https://www.uvic.ca/ecs/computerscience/graduate/courses/index.php The MADS program description can be found at: https
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committed candidates from varied backgrounds who are eager to contribute to cutting-edge and interdisciplinary research. Successful applicants will ideally have: A relevant MSc degree in computer science
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new methodological skills required for the project. A successful applicant will have a MSc degree in microbiology or ecology with a focus on microbial ecology, or a related discipline. Practical
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gases, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https
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new methodological skills required for the project. A successful applicant will have a MSc degree in microbiology or ecology with a focus on microbial ecology, or a related discipline. Practical
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statistical tools. Current Opinion in Behavioral Sciences, 11, 93-99. https://doi.org/10.1016/j.cobeha.2016.07.004" View DetailsEmail EnquiryApply Online