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, chronoamperometry, half-cell measurements); iv) be able to analyze and interpret experimental data using various data analysis software (e.g., Excel, Python and Origin); vi) develop new testing procedures and
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set the research direction and computational approach to the data. Qualifications: - PhD in Biology, Bioinformatics, Computer Science, Statistics or a related quantitative field. - Experience working
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Developing new and more personalized treatment approaches Improving strategies to manage symptoms Developing more effective methods to support patient-physician communications Improving health services and
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international scientists, clinicians, and public health researchers to make meaningful impacts to cancer detection, diagnosis, and treatment. Qualifications and Experience PhD in Bioinformatics, Computational
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of their programs. MA and PhD students may hold a CSRS fellowship only once during each degree program. Applicants may apply for fellowships at other centres at the university; however, because this fellowship
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Vision conferences, CVPR, ICCV, ECCV and peer reviewed journals. Minimum Qualifications: PhD in Computer Science or a related field obtained within the last five years. Strong skills in machine learning
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: A PhD in forest operations, silviculture, forest management or a related field. Strong experience in forest operations, management or silviculture research. A background in quantitative analysis
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of data, creating diverse training opportunities. Interested applicants should have a PhD in biology, molecular biology, biomedical engineering, biotechnology, materials science, computer
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the laboratory Assist in the management of laboratory resources and maintenance of research protocols Qualifications/Requirements of Position Qualifications: PhD in Biological Sciences or a related field, with 0-5
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individuals immersed in any academic discipline. Eligibility Fellows will normally have a PhD and a record of scholarly research in an area related to the CSRS mandate. Typical applicants may be retired faculty