22 high-performance-computing-postdoc Postdoctoral positions at University of Cambridge
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at the University of Cambridge. We are looking for a motivated, independent, and talented scientist. The successful candidate will work with Prof. Chris Pickard to develop their own research programme within
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. Join our cutting-edge research program, spearheaded by Prof. Tamar Makin, as we delve into the fascinating realms of motor control, neural representation of the human body, and robotic body augmentation
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instrumentation, such as high throughput experimentation, and collaborate with experts in the field. We are looking for creative scientists to work as part of a collaborative team. Excellent organisational and
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research
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. A background in neurobiology, anatomy and a very strong quantitative preparation (with extensive experience in bioinformatics/computer science) will be essential. Prior experience with Drosophila
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lab investigates systems neuroscience questions, specifically the role of cortico-subcortical loops in statistical learning. We focus on the auditory system and perform awake/asleep electrophysiology
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets
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will assist with high-throughput CRISPR-Cas9 screens to explore sensitivity/resistance mechanisms in defined genetic backgrounds, followed by validation and ensuing mechanistic studies. Experience in