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contribute to the Lab’s broader effort in conversion and separation of carbon-based materials. The role will require the individual to work with personnel that perform machine learning and molecular
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, United States of America [map ] Subject Areas: Engineering / Computational Science and Engineering , Machine Learning , Quantum Science and Engineering Appl Deadline: (posted 2026/03/05 05:00 AM UnitedKingdomTime, listed
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasets Collaborate closely with
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learning applications in healthcare Strong problem-solving skills and ability to work independently and collaboratively Excellent communication skills and fluency in spoken and written English Demonstrated
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of Jacksonville. JaxLab’s mission centers on community-engaged scholarship, transdisciplinary collaboration, and real-world impact, with an emphasis on resilient, equitable, and design-driven futures. The Florida
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-design, public governance, and public–private collaboration can contribute to more democratic forms of educational technology in European primary and secondary education. Therefore, you will conduct in
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foundations of data science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and Professor Pierre
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Post-doctoral Researcher position. We seek an ambitious, well-trained, and collaborative scholar with a PhD in economics or a related field. Candidates must have expertise in experimental methods and
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candidate will be embedded in Professor James Arnold’s Tumour Immunology Group, where they will contribute to and support the development of ongoing research projects across the School, in a collaborative