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for developing and delivering on the problem book. Undertake wider approaches as necessitated to establish an effective R&D effort, i.e. more ‘upstream’ research to solve thorny problems that are meaningful in
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automation. 14. Ability/willingness to supervise PhD students and work as part of a larger team. 15. Optical/laser lab experience. 16. Experience with machine learning platforms such as TensorFlow, scikit
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the same emotional range as film and books? There is common agreement that there is a marked difference in the emotional experience of 'core' games such as Grand Theft Auto, Call of Duty, Super Mario
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 1 month ago
initiative, learn quickly and adapt to new challenges. The position may require occasional travel. You have PhD degree in a structural biology related field (e.g., 3DEM, X-ray crystallography, NMR and 3DEM
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qubit. Such qubits can store and process quantum information with efficiency inaccessible to any classical digital computer. The well-developed semiconductor technologies and the small size of the quantum
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/Science or Mathematics or related areas. Experience in development of AI/Machine learning algorithms with proven track record in using machine learning and artificial intelligence software libraries (e.g., Scikit-learn
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machine learning classification of fluvial systems to generate a time-series of sediment erosion and deposition from optical satellite imagery. These data will be an essential component of the wider project
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interdisciplinary researchers to grow ideas from concept through to manufacture, instrumentation, and testing, alongside advanced computational mechanics, machine learning, and data analytics workflows. For more
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, sleep medicine, imaging science, immunology, machine learning/AI, psychiatry and cognitive neuroscience to examine the links between Atopic Dermatitis (AD), pruritus, sleep disturbance and altered brain
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to global agriculture. In this context, the EU-funded Sensorbees project is developing and combining micro-robotic, biological and machine learning technologies into a system that can support the well