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insights from geometry and topology to discover new applications of machine learning. Multiple positions may be available. Role Requirements The successful candidate must have a PhD (or close to submitting
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, developing solutions for removing and storing greenhouse gases into the built environment, and developing the life cycle assessment method for quantifying multiple cycles of using building products. Your role
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lab (e.g. laser alignment, spectroscopy, photon counting, data acquisition/automation) is advantageous but not required; Alignment with our core values What we offer The MQO group is young but yet very
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would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses from visual and auditory cortices recorded over multiple days Apply and
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asked to take on additional duties that align with the key responsibilities mentioned above. If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs
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from visual and auditory cortices recorded over multiple days Apply and adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural
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descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. If you encounter any technical issues while applying online, please do
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can study, work and live in a community which is supportive and inclusive. It’s important to us that all of our colleagues are aligned to both our values and commitment to EDI. We welcome and encourage
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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Attributes and Behaviour Ability to negotiate and prioritise multiple, competing responsibilities and to work to deadlines Be open to new ideas, and welcome different perspectives and new ways of thinking