24 apply "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at University of British Columbia in canada
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residency-training program. Faculty members participate across a spectrum of research from basic investigative to translational to clinical applied research and are recognized locally, nationally and
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working at the intersection of uterine health, gynecologic oncology, computational biology, clinical informatics, and artificial intelligence. The lab develops and applies innovative data science and AI
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funding will be eligible for incentive-award/top up funding. Apply through workday only: · Provide a cover letter (2-page maximum) outlining your interest, potential to contribute, and qualifications
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to experience and is expected to be between $65,000 - 75,000 per annum plus benefits including extended health. Candidates with external funding will be eligible for incentive-award/top up funding. Apply through
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Kennedyallee 50 53175 Bonn Germany Helpdesk Please pay attention to the FAQ section of the DAAD website: https://www.daad.de/en/study-and-research-in-germany/scholarships/postdoctoral-researchers-international
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making
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at the molecular and tissue level, and how its disruption contributes to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab ). Key areas include: Mechanisms of cell division fidelity
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of the candidate. Application procedure To apply, please submit the following as one PDF file via https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs (JR#): · Curriculum Vitae (including publication list
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regulated at the molecular and tissue level, and how its disruption contributes to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab ). Key areas include: Mechanisms of cell
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, with a particular focus on biological embedding and biological ageing. We use worldwide multi-cohort data to examine how life-course socioeconomic conditions become biologically embedded, as measured by