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field network and integration of data from across the field network. The project will use standardised biodiversity monitoring across to examine how wildlife responds to tree-based farming systems
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
mathematical aspects; Adequate programming skills and willingness to apply machine learning where required; Optionally, previous experience contributing to open-source scientific software. Terms of employment
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network discovery and individualized circuit targeting, multimodal concurrent brain stimulation-recording, and computational modeling. We bridge invasive approaches, including intracranial electrical
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Response or Security Operations organization. Demonstrated technical proficiency with modern computing hardware, software, and networking technologies. Experience conducting research and publishing academic
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theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure
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approaches to define the cellular and molecular mechanisms underlying protective versus pathological immune responses during respiratory viral infection. We are seeking a highly motivated Ph.D. with a strong
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the stipend to increase each year. We recommend that you apply early as the advert may be removed before the deadline. Geothermal energy supports net zero targets and energy security by providing a reliable
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emotions make individuals susceptible to the experience of pain. By identifying and applying a translational model of emotional flexibility, the neural networks that underly comorbidities of fear and anxiety
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Response or Security Operations organization. Demonstrated technical proficiency with modern computing hardware, software, and networking technologies. Experience conducting research and publishing academic
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qualification, students will have the opportunity to engage with and visit the Northeastern University network overseas as part of their London-based doctoral studies, providing a truly unique and highly sought