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We are seeking a motivated PhD student to use single-molecule techniques and computational tools to explore molecular interactions and apply them for therapeutic applications. Job description We
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largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing applications. As AI models continue to increase in size and computational complexity
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to the design of reward schemes that connect better to the practices of farmers, agribusiness, and financial institutions, and eventually improve biodiversity. The PhD position is part of the DECISION project
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megalencephalic leukoencephalopathy with subcortical cysts (MLC). The project combines behavioural and neurological phenotyping with the development of an automated EEG analysis pipeline. You will use
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, and the use of discarding low-quality entanglement (cut-off time). We will use simulation and analytical calculation for doing so. As part of the Doctoral Network collaboration his position includes
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days) of leave annually with retention of salary Excellent opportunities for further personal development Compensation towards your health insurance expenses Option to make use of group discounts
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an interdisciplinary research team and contribute to innovative studies using EEG, virtual reality, robotics and computational methods. You will be part of the project 'The Body Positioning System: A GPS for
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shaped brain region, implicated in a wide range of functions. The cerebellar cortex, a thin layer of grey matter, is very tightly folded, resulting in a highly convoluted architecture. Its visualisation
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities This PhD project will investigate how phase transitions can be harnessed for information
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organisation is the University of York, UK. The selected candidate will be employed by the University of York and become part of the POLARIS consortium, with academic supervision and disease-specific expertise