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Field
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into an independent scientist. You have a background in machine learning and artificial intelligence and like to build novel methods for the analysis of biological data. You are methodical, curious and able to take
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the brain and artificial neural networks, you will contribute to a better understanding of the computational principles underlying auditory intelligence in humans and machines. What you do As a PhD candidate
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across Europe with 16 doctoral students at the interface of artificial intelligence and mass spectrometry proteomics. In collaboration with researchers at the University of Oxford, we seek a candidate to
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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this project, you will develop innovative image analysis methods to improve image quality and enable advanced quantitative analyses of ^89Zr-immunoPET data, including radiomics and artificial intelligence
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, Edgmond, Shropshire, UK. Project We are seeking a highly motivated PhD candidate to join our research team working at the intersection of robotics, artificial intelligence, and agriculture. The project will
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, navigation in waves or ocean currents, and underwater manipulation. At the same time, Foundation Models have transformed several fields of artificial intelligence by learning general-purpose representations
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integrating multiomics data from patient biopsies, cerebrospinal fluid (CSF), blood samples, and patient-derived xenograft (PDX) models. By combining these datasets with advanced artificial intelligence
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for the processing, analysis and interpretation of large volumes of scientific data, as well as to the integration of artificial intelligence-based tools into highly technologically complex research environments
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with