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in several tropical ocean locations. A successful candidate should have: A PhD (or equivalent) in geochemistry. Experience in the operation of single and/or multi-collector plasma mass spectrometer
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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strategies that modulate the crosstalk between tumor and immune cells, and develop new image-based screening technologies to identify targets that mediate clinically-relevant cell-cell interactions
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grants and supervision of graduate and undergraduate students Provide logistical support pertaining to laboratory operation for the project Job Requirements: PhD (for Research Fellow and above equivalent
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lab investigates how neural circuits process visual information and drive behaviour, as well as the evolutionary development of these visual systems. By studying a myriad of vertebrate species, we aim
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, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal ambitions. Our research is engaged
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, clinicians and imaging experts from UBC, BCCRI, and our international institutional and industry partners. The fellow will work within our multidisciplinary team (medical physicists, engineers, nuclear
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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing