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generation of scientists trained in interdisciplinary collaborative approaches. The Faculty Research Assistant will work with professors, postdoctoral fellows, graduate students, and undergraduate volunteers
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producing a new generation of scientists trained in interdisciplinary collaborative approaches. The Faculty Research Assistant will work with professors, postdoctoral fellows, graduate students, and
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understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
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of exogenous and endogenous opioids on brain function and behavior, using laboratory mice as an experimental system. This includes behavioral tests following manipulations of opioid signaling, as
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relevant skills and extensive experience in multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing). The candidate should be enthusiastic
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required by the start date. Experience in signal processing, machine learning, and MRI is needed. The position will be funded by NIH awards on high-resolution brain relaxometry, free-breathing cardiac MRI
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this the selection criteria. Selection process The planned selection process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2
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development, and disease models. 2. Computational & Data-Science Neuroengineering Examples include but are not limited to the following: neural signal processing & data analytics for feature extraction
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Location: Ottawa, Ontario Value: $55,567 (part-time Postdoctoral Fellowship) For further information on the organization, please visit Global Affairs Canada For further information on the program, please
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will work as part of a collaborative team, working closely with fellow postdoctoral researchers and PhD candidates across ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS) and other