64 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at University of Oxford
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investigating how dopaminergic and serotonergic systems interact in the primate frontal cortex to support learning and decision making. About the department The Department of Experimental Psychology is a large
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Department of Physics offer an inclusive and diverse environment and workplace. We strongly encourage applications from all backgrounds and genders to apply.The post-holder will have the opportunity to teach
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also have experience of analysing research results in a transparent and reproducible way, using relevant tools and software. You should be enthusiastic to learn and work independently and as part of a
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opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in advanced first principles computational
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institutions. The post-holder will have the opportunity to teach. Applicants should hold PhD (or close to completion) in Physics or a related field. A strong background in Galaxy dynamics and gravitational
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activities and learn techniques from laboratory members. Experience working with bacteria/microbiology, protein production and purification or immunofluorescence microscopy are desirable but not essential
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. They will have experience working with bioacoustic and camera trap data and be familiar with deep learning methods, with a proven track record of training and applying audio signal classifiers. The successful
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electronics and software. The post-holder will also have the opportunity to teach. The post-holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion in physics
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will have the opportunity to teach. Applicants should hold a PhD/DPhil, (or close to completion) in atmospheric physics or related fields. Experience in atmospheric physics and aatmospheric remote
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activity in the frontal cortex and the hippocampal formation of mice performing a schema learning task in a structured maze environment. The project will involve a range of physiology techniques, primarily