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Field
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description Applications for the Postdoctoral Scholars are being sought from doctoral (PhD, MD, or foreign equivalent) candidates with strong laboratory research backgrounds & specialized training
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and mentor PhD and Master’s students within the research group, while overseeing project milestones and preparing technical reports. Requirements for candidates: Essential: Degree, Master and phd’s in
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, Quebec, Canada, H3G 0B1 where you will have access to a desktop computer, network and statistical and image analysis software. The postdoctoral appointment will not involve any clinical service to hospital
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unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD degree from Computer Science with research expertise in
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, AUPs, SOPs, and lab notebooks. Qualifications: PhD in relevant biological sciences field of study (neuroscience preferred) Research expertise and hands-on experience with the following: experimental
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auditory perception, learning, and decision-making. Performs anatomical tract tracing, AAV-based labeling, immunohistochemistry, imaging, and analyses of the neural circuits involved in auditory processing
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, information theory, computational biology and image processing. Applicants must have (or expect to have at the time of appointment) a PhD. The work location for this position is in-person on campus at Princeton
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to enable scalability. The work will draw on concepts from dynamical systems, stochastic processes, and stochastic differential equations (SDEs), including nonequilibrium systems, to model cellular behavior
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medication purchases, laboratory measurements, clinical notes and imaging. Your main project will involve building and studying multimodal health trajectories on a nationwide scale to catch increasing disease
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the maintenance of stock reagents or the general operation of the lab, and various other duties or projects as assigned. Minimum Qualifications PhD in biochemistry, biophysics, molecular biology, immunology