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, etc.) in the Netherlands for more than 12 months in the 36 months immediately before their recruitment date. Where to apply Website https://www.academictransfer.com/en/jobs/363258/phd-in-design-of-next
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ranked among the top engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in a related discipline, and
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: Conceptualisation and synthesis of data integration and visualisation workflows. Data management and the development of knowledge graphs Development and application of AI and machine learning methods and pipelines
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in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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computer skills to meet the needs of our online didactic instructional format. Team-oriented and willing to collaborate and share instructional methods and student-learning activities. Appreciation
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. The role will support multidisciplinary work on immersive AI systems for therapy, rehabilitation, research and human-machine interaction, with responsibility for the physical and technical infrastructure
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for Computing and Computer Engineering. Candidates must hold a PhD in an appropriate area, have postdoctoral experience, and show potential for leading an independent, vibrant, world-class research program. BU
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PhD in a relevant area of research Extensive and up-to-date theoretical and practical knowledge in mass spectrometry and/or protein quantitation Experience of mass spectrometry analysis of human-derived
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partners. The main goal of your PhD project will be to develop combined X-ray and visible-light imaging technologies and machine learning methods for high-throughput inspection tasks. The work will include