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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and international partners. Active
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., miniscope neural recording, connectivity tracing) to examine circuit specific function in the brain. We are particularly looking for PhD level scientist with expertise in vascular biology. Expertise in
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology, computer science, biomedical engineering
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consisting of PhD-level scientists, graduate students, and undergraduate students, ensuring the candidate learns valuable skills in writing manuscripts and grant proposals, advising fellow researchers, and
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behavioral experiments combined with optogenetic, chemogenetic, and pharmacological manipulation of neural circuit function. • Experimental Setup: Develop and maintain behavioral and recording systems. • Data
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teams within uOttawa’s growing neuroscience community. Qualifications: PhD in neuroscience or a related field. Experience with molecular biology, RNAseq, and mouse behavior Experience with coding is an
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problem solving strategies used in nature and to ground these ideas by fostering deep collaborations with experimental biologists. Most recently, we have been interested in neural circuit computation and
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the functions of neurons and circuits in the visual system using experiment and theory. This position offers collaboration across three laboratories, combining retinal electrophysiology and imaging, cellular and