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that postdoctoral researchers receive the guidance and resources necessary to thrive in both academic and applied research settings. Qualifications: PhD in Neuroscience, Psychology, Psychiatry, Biomedical Engineering
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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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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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, optogenetics, and computational methods, this project aims to elucidate how prefrontal cortex neurons form short-term memories of reward to guide an animal’s actions. The research will examine interactions
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, other racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Qualifications PhD in Chemical or Industrial Engineering, or relevant equivalent experience Strong
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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mission. Eligibility and Requirements We’re seeking pragmatic and applied scholars who are eager to produce research that informs real-world action, not just theory. Applicants must have: A recent PhD
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preparation and data analysis AND/OR - Experience with scRNA-Seq, CHIP-Seq or related methods, including library preparation and data analysis AND/OR - Extensive experience with in vitro or in vitro reporter
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, awarding two prestigious post-doctoral fellowship awards (MD/PhD) valued at $30,000 each. These awards aim to support the next generation of experts in neurovascular medicine in Canada, advancing sex- and
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
knowledge to resolve or aid in the resolution of complex scientific and technical problems with students. Qualifications PhD in Physics, Electrical Engineering, or a related discipline. Demonstrable skill in