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with stakeholders would be desirable. Previous experience of collecting primary qualitative data collection (including questionnaire design) and data analysis is desirable. Experience of working with
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architectures, and on-device inference on edge-compute platforms. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
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methods for analyses of large-scale genomic data such as genome-wide analyses, polygenic prediction, Mendelian randomization, functional bioinformatical follow up and network analysis. The project will
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-charter-mission-and-goals . Essential Duties Serve as a statistician on funded and unfunded health-related research projects Prepare data analysis plans and conduct power analyses for applications
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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Strong analytical and problem-solving skills. Proficiency in data analysis software (e.g., R, Excel). Excellent written and verbal communication skills. Ability to work independently and as part of a team
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Status: Closed Applications open: 14/10/2024 Applications close: 30/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information This PhD Scholarship is funded
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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sensing, geophysics or sediment analysis. It is not expected that the student will have skills in all these areas, but some experience of at least one would be preferable. Support: The project is being
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studied using MDA-MB-231 and MCF-7 breast cancer cells, and a normal breast cell line MCF-10A. Cell viability assays, colony formation, and flow cytometry analysis will be used to assess the anti-cancer