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• PhD in a relevant field • Demonstrated ability to thrive in a collaborative team environment • High personal motivation, self-management, detail-orientated; ability to take responsibility
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development and target discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by
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discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by the time of
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with
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. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop their leadership skills in the laboratory by participating in overseeing
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biology for a two-year term with possibility of extension. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop
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recently been awarded (within 5 years) a PhD or equivalent. The Postdoctoral fellow will receive a stipend or a bursary from a professor’s grant for research activities that will be performed on a full-time
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and/or theriogenology. A degree in Veterinary Medicine will be an advantage but not required. Preference will be given to candidates who are within three years of their PhD Experience: To enhance
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The successful candidate should have a PhD in cardiovascular physiology and/or spinal cord injury biology. They should have strong hands-on skills in performing, analyzing and interpreting common cardiovascular