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Field
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in hand by 12/2025. Postgraduate experience with protein-ligand interaction
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procedures, supervising experimental procedures, review of data for quality control, supervision of data entry/data analysis, analysis of research hypothesis using descriptive and multivariate statistics, and
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. Supporting the production of technical documentation, deliverables, and contributions to collaborative publications. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in
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, pipelines, and datasets in version-controlled environments. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 29 days ago
language skills? No problem - most Swedes speak English fluently. Your Profile PhD in a relevant discipline, completed within the last 3 years from the start of the appointment. Expertise in cancer
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University of Cambridge, Department of Pure Mathematics and Mathematical Statistics Position ID: CambUK -RESEARCHASSOCIATE [#26302] Position Title: Position Type: Postdoctoral Position Location
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federal, state, and institutional regulations. 4. Data Analysis and Dissemination: Conduct statistical analyses and interpret data related to host-parasite dynamics. Prepare manuscripts for peer-reviewed
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable